Site memory processing

• US 10,089,404 B2
• Filed: 02/17/2012
• Issued: 10/02/2018
• 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
• Primary Examiner(s): Nguyen, Thu Nga
• Application Number:
  US13/399,576
• Publication Number:
  US 20120191728A1
• Time in Patent Office: 2,419 Days
• Field of Search: None
• 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:

at a computing system having memory and one or more processors;

receiving a request from a user to clip content from a website being presented to the user;

obtaining clipped content and extracted information from the website in response to the request;

in response to obtaining the clipped content and extracted information, suggesting one or more notebooks and content tags for the clipped content, including;

identifying, in a personal database of the user, stored content relevant to at least one of;

the clipped content, and the extracted information;

identifying a plurality of notebooks containing the identified relevant content;

identifying a plurality of content tags from the identified relevant content;

ranking the plurality of notebooks based at least in part on a frequency of use of each notebook in the plurality of notebooks for the relevant content;

in accordance with the ranking, causing at least a subset of the plurality of notebooks to be presented to the user as suggested notebooks for storing the clipped content; and

causing at least a subset of the plurality of content tags to be presented to the user as suggested tags for the clipped content; and

in response to a user selection of a notebook of the plurality of notebooks, associating the clipped content and extracted information with the selected notebook.

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

3. The method of claim 1, wherein the suggested tags are ranked according to a weight assigned to each of the tags, wherein the weight of each of the tags is based on a correspondence between relevant content to which each of the tags was previously provided and the clipped content.

4. The method of claim 3, wherein the suggested tags are weighted according to frequency of use in the identified relevant content.

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

6. The method of claim 1, wherein the extracted information is extracted from the website in response to an activation action by the user.

14. The method of claim 1, further comprising associating the clipped content and/or the extracted information with one or more suggested tags in response to a user selection of the one or more suggested tags.

7. A non-transitory computer readable medium storing software, the software comprising instructions, which when executed by a computing system, cause the computing system to:

receive a request from a user to clip content from a website being presented to the user;

obtain clipped content and extracted information from the website in response to the request;

in response to obtaining the clipped content and extracted information, suggest one or more notebooks and content tags for the clipped content, including;

identify, in a personal database of the user, stored content relevant to at least one of;

the clipped content, and the extracted information;

identify a plurality of notebooks containing the identified relevant content;

identify a plurality of content tags from the identified relevant content;

rank the plurality of notebooks based at least in part on a frequency of use of each notebook in the plurality of notebooks for the relevant content;

in accordance with the ranking, cause at least a subset of the plurality of notebooks to be presented to the user as suggested notebooks for storing the clipped content; and

cause at least a subset of the plurality of content tags to be presented to the user as suggested tags for the clipped content; and

in response to a user selection of a notebook of the plurality of notebooks, associate the clipped content and extracted information with the selected notebook.

8. The non-transitory computer readable medium of claim 7, wherein the extracted information includes a portion of the site address of the website.

9. The non-transitory computer readable medium of claim 7, wherein the suggested tags are ranked according to a weight assigned to each of the tags, wherein the weight of each of the tags is based on a correspondence between relevant content to which each of the tags was previously provided and the clipped content.

10. The non-transitory computer readable medium of claim 9, wherein the suggested tags are weighted according to frequency of use in the identified relevant content.

11. The non-transitory computer readable medium of claim 7, wherein the extracted information is automatically extracted from the website.

12. The non-transitory computer readable medium of claim 7, wherein the extracted information is extracted from the website in response to an activation action by the user.

13. The non-transitory computer readable medium of claim 7, wherein the software further comprises instructions, which when executed by a computing system, cause the computing system to associate the clipped content and/or the extracted information with one or more suggested tags in response to a user selection of the one or more suggested tags.