SITE MEMORY PROCESSING

• US 20120191728A1
• Filed: 02/17/2012
• Published: 07/26/2012
• Est. Priority Date: 09/08/2010
• Status: Active Grant

• Current Assignee: Bending Spoons SpA
• Original Assignee: Evernote Corp. (Bending Spoons SpA)
• Inventors: LIBIN, Phil, Constantinou, Phil, Stavisky, Dmitry, Pachikov, Alex, Skaldin, Pavel, Sinkov, Andrew, Bignert, Jakob
• Granted Patent: US 10,089,404 B2
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06F 16/9562 Bookmark management

Abstract

A system is provided for presenting users with relevant personalized and/or customized information whenever a visitor visits a website or performs an Internet search. The described system described herein advantageously provides for the saving (clipping) of website information as an integrated part of a visitor'"'"'s browsing experience. The user may be presented with either a suggested list of notebooks and/or a suggested list of tags for the website informationa. The content of the website information that is clipped may be advantageously controlled by a website owner/publisher. Using website clips, identified as “notes,” previously stored by a visitor, currently displayed website content may be accordingly modified in connection with identified relevant notes and/or a notification may be displayed on the current website for a particular visitor identifying stored relevant notes of the visitor.

Claims

1. A method for storing information from a website, comprising:

extracting information, as extracted information, from the website;

searching a database for relevant information that is relevant to the extracted information from the website, wherein the relevant information is stored in the database prior to the extracting of the extracted information from the website;

presenting the relevant information in a manner that associates the relevant information with content displayed on the website; and

presenting a user with at least one of;

a suggested list of notebooks for the extracted information and a suggested list of tags for the extracted information.

2. The method of claim 1, wherein the extracted information is a portion of the site address of the website.

3. The method of claim 1, wherein the suggested list of notebooks is provided by determining notebooks used for notes containing relevant content.

4. The method of claim 3, wherein the suggested list of notebooks is ranked according to a weight assigned to each of the notebooks, wherein the weight of each of the notebooks varies according to an expected likelihood of correspondence between each of the notebooks and the extracted information.

5. The method of claim 4, wherein the suggested list of notebooks is weighted according to frequency of use in the notes containing relevant content.

6. The method of claim 1, wherein the suggested list of tags is provided by determining tags used for notes containing relevant content.

7. The method of claim 6, wherein the suggested list of tags is ranked according to a weight assigned to each of the tags, wherein the weight of each of the tags varies according to an expected likelihood of correspondence between each of the tags and the extracted information.

8. The method of claim 7, wherein the suggested list of tags is weighted according to frequency of use in the notes containing relevant content.

9. The method of claim 1, wherein the extracted information is automatically extracted from the website.

10. The method of claim 1, wherein the extracted information is extracted from the website after an activation action by a visitor to the website.

11. A non-transitory computer readable medium storing software that stores information from a website, the software comprising:

executable code that extracts information, as extracted information, from the website;

executable code that searches a database for relevant information that is relevant to the extracted information from the website, wherein the relevant information is stored in the database prior to the extracting of the extracted information from the website;

executable code that presents the relevant information in a manner that associates the relevant information with content displayed on the website; and

executable code that presents a user with at least one of;

a suggested list of notebooks for the extracted information and a suggested list of tags for the extracted information.

12. The non-transitory computer readable medium of claim 11, wherein the extracted information is a portion of the site address of the website.

13. The non-transitory computer readable medium of claim 11, wherein the suggested list of notebooks is provided by determining notebooks used for notes containing relevant content.

14. The non-transitory computer readable medium of claim 13, wherein the suggested list of notebooks is ranked according to a weight assigned to each of the notebooks, wherein the weight of each of the notebooks varies according to an expected likelihood of correspondence between each of the notebooks and the extracted information.

15. The non-transitory computer readable medium of claim 14, wherein the suggested list of notebooks is weighted according to frequency of use in the notes containing relevant content.

16. The non-transitory computer readable medium of claim 11, wherein the suggested list of tags is provided by determining tags used for notes containing relevant content.

17. The non-transitory computer readable medium of claim 16, wherein the suggested list of tags is ranked according to a weight assigned to each of the tags, wherein the weight of each of the tags varies according to an expected likelihood of correspondence between each of the tags and the extracted information.

18. The non-transitory computer readable medium of claim 17, wherein the suggested list of tags is weighted according to frequency of use in the notes containing relevant content.

19. The non-transitory computer readable medium of claim 11, wherein the extracted information is automatically extracted from the website.

20. The non-transitory computer readable medium of claim 11, wherein the extracted information is extracted from the website after an activation action by a visitor to the website.