# US 10,482,131 B2 · Collaborative clustering feed reader

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- Number: US 10,482,131 B2
- Document ID: US10482131B2
- Status: Granted
- Kind: B2
- Application number: 14/644,172
- Filed: 2015-03-10
- Published: 2016-09-29
- Granted: 2019-11-19
- Earliest claimed: 2014-03-10
- Applicants: Eustus Dwayne Nelson
- Inventors: Eustus Dwayne Nelson
- Web page: https://patentgrep.com/patent/US10482131B2

## CPC

- G06F 16/93: Document management systems
- G06F 16/287: {Visualization; Browsing}
- G06F 16/9562: {Bookmark management}
- G06F 16/958: Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

The present invention is a method for organizing information. The invention discloses a novel and useful way of employing text analytics or other grouping mechanisms for organizing a large volume of incoming documents in a way that a user can quickly find information that the user considers interesting. Some of the best embodiments of the invention allow older information that has not been marked as interesting to expire while grouping information that has been marked as interesting with newer and similar items.

## Claims

### Claim 1

A method for presenting documents, the method comprising:
receiving over a computer network a stream of document references from at least one source into a collection;
receiving at least one user bookmark for a bookmarked document;
designating at least one deemphasized document reference from said collection, said deemphasized document reference relating to a document identified as less interesting;
removing said at least one deemphasized document reference from said collection if said at least one deemphasized document reference is not associated with a user bookmark;
identifying groups of document references having a defined similarity from said collection; and
presenting said groups of document references having a defined similarity on a display, wherein said groups of document references having a defined similarity contains a reference to said bookmarked document.

### Claim 2 (depends on 1)

The method of claim 1, wherein at least one source is obtained from a user subscription list.

### Claim 3 (depends on 1)

The method of claim 1, wherein at least one source is an RSS feed.

### Claim 4 (depends on 1)

The method of claim 1, wherein at least one document reference from a source not identified in a user subscription list is grouped with a document reference from said collection.

### Claim 5 (depends on 1)

The method of claim 1, further comprising:
receiving at least one definition of similarity operable to identify groups of document references.

### Claim 6 (depends on 1)

The method of claim 1, wherein said step of identifying groups of document references having a defined similarity is executed by performing analytics on text contained within documents referenced by the document references.

### Claim 7 (depends on 1)

The method of claim 1, wherein a user is notified when a new document is added to one of said groups of document references having a defined similarity.

### Claim 8 (depends on 1)

The method of claim 1, wherein a document reference is deemphasized upon reaching a certain age.

### Claim 9 (depends on 1)

The method of claim 1, wherein at least one older bookmark appears in a recent group of document references.