Site memory processing

Patent metadata

Field	Value
Publication number	US-10089404-B2
Application number	US-201213399576-A
Country	US
Kind code	B2
Filing date	Feb 17, 2012
Priority date	Sep 8, 2010
Publication date	Oct 2, 2018
Grant date	Oct 2, 2018

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.

First claim

What is claimed is:

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.

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.

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.

Assignees

• Libin Phil
• Constantinou Phil
• Stavisky Dmitry
• Pachikov Alex
• Skaldin Pavel
• Sinkov Andrew
• Bignert Jakob
• Evernote Corp

Inventors

• Libin Phil
• Constantinou Phil
• Stavisky Dmitry
• Pachikov Alex
• Skaldin Pavel
• Sinkov Andrew
• Bignert Jakob

Classifications

• G06F17/30884 Primary

  Physics · mapped topic

• G06F16/9562 Primary

  Bookmark management · CPC title