Embedded streams user interface

• US 10,417,299 B1
• Filed: 12/12/2014
• Issued: 09/17/2019
• Est. Priority Date: 10/11/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Terleski, Jonathan, Evans, Brynn
• Primary Examiner(s): Fan, Hua
• Application Number:
  US14/569,527
• Time in Patent Office: 1,740 Days
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/9577 Optimising the visualization of content, e.g. distillation of HTML documents
• CPC Class Codes: G06F 40/106 Display of layout of documents; Previewing
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system and method for providing or presenting secondary or embedded streams includes a primary stream generator, a secondary stream generator and a user interface engine. The primary stream generator generates the primary stream for the user and is coupled to a content source to extract data and coupled to provide the primary stream. The secondary stream generator generates a secondary stream for the user, is coupled to the content source to retrieve data and is coupled to provide the secondary stream. The user interface engine produces a user interface including a primary stream of content with an embedded secondary stream. The user interface engine is coupled to receive the primary stream from the primary stream generator and the secondary stream from the secondary stream generator. The present disclosure also includes a method for generating a user interface with an embedded stream.

Claims

1. A method for generating a stream of content, the method comprising:

receiving, by one or more computing devices, a request from a first user for the stream of content;

determining, by the one or more computing devices, a contextual clue of the first user, the contextual clue including at least one of a location of the first user and a time of day;

querying, by the one or more computing devices, a data source based on the first user'"'"'s request and the contextual clue of the first user;

retrieving, by the one or more computing devices, a plurality of candidate content items that match the querying;

determining, by the one or more computing devices, interestingness scores for the plurality of candidate items by comparing the plurality of candidate content items to a model that indicates one or more types of relevance of content items to the first user;

generating, by the one or more computing devices, a primary stream of content including a first set of content items from the plurality of candidate content items using the interestingness scores of the plurality of content items;

determining, by the one or more computing devices, a secondary stream of content based on interactions of the first user with a same first content item in the first set of content items in the primary stream of content, wherein the secondary stream of content includes a content item that is different from the first content item and provides information related to the first content item; and

providing for presentation, by the one or more computing devices, the secondary stream of content embedded in the primary stream of content, wherein the secondary stream of content is embedded by placing it between two content items in the first set of content items in the primary stream of content with a visually different appearance than the primary stream of content.

2. The method of claim 1, wherein the interestingness scores are also based on social relevance to the first user.

3. The method of claim 1, wherein generating the primary stream of content from the plurality of candidate content items includes determining a number of items in the primary stream of content based on display ability of a display device.

4. The method of claim 1, further comprising:

retrieving a user relationship map of the first user; and

receiving an additional candidate content item based on the user relationship map of the first user.

5. The method of claim 4, wherein the additional candidate content item is derived from a second user who has a relationship with the first user.

6. The method of claim 1, wherein the method further comprising:

receiving user information of the first user; and

generating the model for the first user using the user information.

7. The method of claim 6, wherein the user information includes one from a group of a query, a click, a news click, a gadget and an email interaction of the first user.

8. A computer program product comprising a non-transitory computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

receive a request from a first user for a stream of content;

determine a contextual clue of the first user, the contextual clue including at least one of a location of the first user and a time of day;

query a data source based on the first user'"'"'s request and the contextual clue of the first user;

retrieve a plurality of candidate content items that match the query;

determine interestingness scores for the plurality of candidate content items by comparing the plurality of candidate content items to a model that indicates one or more types of relevance of content items to the first user;

generate a primary stream of content including a first set of content items from the plurality of candidate content items using the interestingness scores of the plurality of content items;

determine a secondary stream of content based on interactions of the first user with a same first content item in the first set of content items in the primary stream of content, wherein the secondary stream of content includes a content item that is different from the first content item and provides information related to the first content item; and

provide the secondary stream of content embedded in the primary stream stream of content for presentation, wherein the secondary stream of content is embedded by placing it between two content items in the first set of content items in the primary stream of content with a visually different appearance than the primary stream of content.

9. The computer program product of claim 8, wherein the interestingness scores are also based on social relevance to the first user.

10. The computer program product of claim 8, wherein the computer readable program when executed on the computer causes the computer further to determine a number of the items in the primary stream of content based on display ability of a display device.

11. The computer program product of claim 8, wherein the computer readable program when executed on the computer causes the computer further to:

retrieve a user relationship map of the first user; and

receive an additional candidate content item based on the user relationship map of the first user.

12. The computer program product of claim 11, wherein the additional candidate content item is derived from a second user who has a relationship with the first user.

13. The computer program product of claim 8, wherein the computer readable program when executed on the computer causes the computer further to:

receive user information of the first user; and

generate the model for the first user using the user information.

14. The computer program product of claim 13, wherein the user information includes one from a group of a query, a click, a news click, a gadget, and an email interaction of the first user.

15. A system comprising:

one or more processors; and

a memory storing instructions that, when executed, cause the system to;

receive a request from a first user for a stream of content;

determine a contextual clue of the first user, the contextual clue including at least one of a location of the first user and a time of day;

query a data source based on the first user'"'"'s request and the contextual clue of the first user;

retrieve a plurality of candidate content items that match the query;

determine interestingness scores for the plurality of candidate content items by comparing the plurality of candidate content items to a model that indicates one or more types of relevance of content items to the first user;

generate a primary stream of content including a first set of content items from the plurality of candidate content items using the interestingness scores of the plurality of content items;

determine a secondary stream of content based on interactions of the first user with a same first content item in the first set of content items in the primary stream of content, wherein the secondary stream includes a content item that is different from the first content item and provides information related to the first content item; and

provide the secondary stream of content embedded in the primary stream stream of content for presentation, wherein the secondary stream of content is embedded by placing it between two content items in the first set of content items in the primary stream of content with a visually different appearance than the primary stream of content.

16. The system of claim 15, wherein the interestingness scores are also based on social relevance to the first user.

17. The system of claim 15, wherein the system is further configured to determine a number of the items in the primary stream of content based on display ability of a display device.

18. The system of claim 15, wherein the system is further configured to:

retrieve a user relationship map of the first user; and

receive an additional candidate content item based on the user relationship map of the first user.

19. The system of claim 18, wherein the additional candidate content item is derived from a second user who has a relationship with the first user.

20. The system of claim 15, wherein the system is further configured to:

receive user information of the first user; and

generate the model for the first user using the user information.

21. The system of claim 20, wherein the user information includes one from a group of a query, a click, a news click, a gadget, and an email interaction of the first user.