The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 22, 2016

Filed:

Apr. 13, 2011
Applicants:

Sean Mark Blanchflower, Cambridge, GB;

Simon Hayhurst, Palo Alto, CA (US);

Inventors:

Sean Mark Blanchflower, Cambridge, GB;

Simon Hayhurst, Palo Alto, CA (US);

Assignee:

Longsand Limited, Cambridge, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); G06Q 50/00 (2012.01); G06Q 10/10 (2012.01); G06F 17/30 (2006.01); H04L 12/58 (2006.01);
U.S. Cl.
CPC ...
G06Q 50/01 (2013.01); G06F 17/30867 (2013.01); G06Q 10/10 (2013.01); H04L 51/32 (2013.01);
Abstract

Methods for automatically recommending hash tags for use with comments generated by the comment authors comprise analyzing existing comments to determine reach and influence of authors of the existing comment, and hash tags and keywords that are included in the existing comments. The methods further comprise using the comment and linked content of links included in the existing comment to determine concept information associated with the existing comments, where the concept information is determined using a server computing system configured with an Intelligent Data Operating Layer (IDOL) application, and where the concept information, the reach and influence information, the keywords and the hash tags are stored in a hash tag database. The methods further comprise analyzing new comments as they are being generated by authors of the new comments where the new comments and any linked content associated with the new comments are analyzed by the server computing system configured with the IDOL application to determine related concept information, and recommending possible hash tags to the authors of the new comments using the concept information of the new comments and the information stored in the hash tag database.


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