US 9,811,780 B1
Identifying subjective attributes by analysis of curation signals
Hrishikesh Aradhye, Santa Clara, CA (US); and Sanketh Shetty, Sunnyvale, CA (US)
Assigned to GOOGLE INC., Mountain View, CA (US)
Filed by Hrishikesh Aradhye, Santa Clara, CA (US); and Sanketh Shetty, Sunnyvale, CA (US)
Filed on Mar. 15, 2013, as Appl. No. 13/842,896.
Claims priority of provisional application 61/694,203, filed on Aug. 28, 2012.
Int. Cl. G06N 99/00 (2010.01); G06F 17/30 (2006.01)
CPC G06N 99/005 (2013.01) [G06F 17/3053 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method comprising:
determining, by a computer system, a plurality of subjective attributes for a first entity based on terms from a plurality of user reactions to the first entity, wherein the terms are not a user-supplied tag;
determining respective relevancy scores for the plurality of subjective attributes with respect to the first entity using at least a number of occurrences of a plurality of users bookmarking the first entity;
obtaining a first set of features for the first entity; and
training a classifier on a set of input-output mappings, wherein the set of input-output mappings comprises an input-output mapping whose input is based on the first set of features and whose output is based on the respective relevancy scores for the plurality of subjective attributes with respect to the first entity, wherein the trained classifier is to be applied to a second set of features of a second entity to obtain respective relevancy scores for one or more subjective attributes with respect to the second entity.