Identification and disambiguation of electronic content significant to a user
View Patent ↗Content that is significant to a user may be determined. An indication that a user finds content within a document significant may be received. In response to the received indication, the document may be analyzed to identify a set of topics associated with the content of the document. From the set of topics, a subset of topics responsible for the user finding the document significant may be identified. A user profile associated with the user may be updated based on the subset of topics.
1. A method comprising:
enabling a selectable user interface element for presentation to a user in association with an electronic document separate from the selectable user interface element, wherein selection by a user of the selectable user interface element indicates that the user is interested in at least a portion of the electronic document;
detecting a selection by the user of the selectable user interface element;
analyzing, in response to the detected selection and using at least one processor, the electronic document to identify a plurality of portions of content of the electronic document; and
identifying at least one portion from the plurality of portions of the content of the electronic document that the user is interested in.
2. The method of claim 1 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document comprises extracting the plurality of portions of content from the electronic document.
3. The method of claim 1 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document comprises removing, from the electronic document, information and formatting extraneous to the plurality of portions.
4. The method of claim 1 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document comprises utilizing visual pattern recognition or image analysis to identify the plurality of portions.
5. The method of claim 1 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document is performed using optical character recognition or metadata inspection techniques.
6. The method of claim 1 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document is performed using term frequency-inverse document frequency, a uniform resource locator, or a file name.
7. The method of claim 1 , wherein identifying the at least one portion comprises disambiguating the at least one portion from at least one other portion within the plurality of portions.
8. The method of claim 1 , wherein identifying the at least one portion comprises determining that the user is currently viewing or accessing the at least one portion.
9. The method of claim 8 , wherein the at least one portion comprises at least one of audio or video content.
10. The method of claim 1 , wherein identifying the at least one portion comprises determining that the at least one portion is dominant to at least one other portion within the electronic document.
11. The method of claim 1 , wherein identifying the at least one portion comprises identifying the at least one portion based on information associated with a referring web page.
12. The method of claim 1 , wherein the electronic document comprises a web page.
13. The method of claim 1 , wherein identifying the at least one portion comprises using information from a user profile associated with the user to identify the at least one portion.
14. The method of claim 1 , further comprising:
detecting a selection by the user of a the at least one portion; and
updating a user profile associated with the user to reflect that the user is interested in the at least one portion.
15. The method of claim 1 , wherein identifying the at least one portion comprises using a cursor location to identify the at least one portion.
16. A system comprising:
at least one processor; and
at least one computer-readable storage medium storing instructions thereon that, when executed by the at least one processor, cause the system to:
enable a selectable user interface element for presentation to a user in association with an electronic document separate from the selectable user interface element, wherein selection by a user of the selectable user interface element indicates that the user is interested in at least a portion of the electronic document;
detect a selection by the user of the selectable user interface element;
analyze, in response to the detected selection, the electronic document to identify a plurality of portions of content of the electronic document; and
identify at least one portion from the plurality of portions of the content of the electronic document that the user is interested in.
17. The system of claim 16 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document comprises extracting the plurality of portions of content from the electronic document.
18. The system of claim 16 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document comprises removing, from the electronic document, information and formatting extraneous to the plurality of portions.
19. The system of claim 16 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document comprises utilizing visual pattern recognition or image analysis to identify the plurality of portions.
20. The system of claim 16 , wherein analyzing, in response to the detected selection, the electronic document to identify the plurality of portions of content of the electronic document is performed using optical character recognition or metadata inspection techniques.