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Nir Y Ailon

from New York, NY
Age ~49

Nir Ailon Phones & Addresses

  • 10 74Th St, New York, NY 10023 (646) 863-2355
  • Baltimore, MD
  • 217 Halsey St, Princeton Township, NJ 08540 (609) 924-5438
  • Princeton, NJ
  • Mountain View, CA
  • 2 Gold St APT 4F, New York, NY 10038

Publications

Us Patents

Method And System For Clustering Data Points

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US Patent:
20120254183, Oct 4, 2012
Filed:
Nov 10, 2009
Appl. No.:
13/128333
Inventors:
Nir Ailon - New York NY, US
Edo Liberty - New Haven CT, US
Harishabd Khalsa - Brooklyn NY, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707738, 707E17046
Abstract:
Systems and methods for clustering a group of data points based on a measure of similarity between each pair of data points in the group are provided. A pairwise similarity function can be estimated for each pair of data points in the group. A clustering algorithm can be executed to create clusters and associate data points with the clusters using the pairwise similarity function. The algorithm can be iterated multiple times until a stopping condition is reached in order to reduce variance in the output of the algorithm. The pairwise similarity function for each pair of data points can be updated between iterations of the algorithm and the results of each iteration can be aggregated. The data in each data point associated with a cluster can be consolidated into a consolidated data point.

Method And System For Clustering Data Points

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US Patent:
20140067757, Mar 6, 2014
Filed:
Nov 8, 2013
Appl. No.:
14/075619
Inventors:
Nir Ailon - New York NY, US
Edo Liberty - New Haven CT, US
Harishabd Khalsa - Brooklyn NY, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707609, 707737, 707722
Abstract:
Systems and methods for clustering a group of data points based on a measure of similarity between each pair of data points in the group are provided. A pairwise similarity function can be estimated for each pair of data points in the group. A clustering algorithm can be executed to create clusters and associate data points with the clusters using the pairwise similarity function. The algorithm can be iterated multiple times until a stopping condition is reached in order to reduce variance in the output of the algorithm. The pairwise similarity function for each pair of data points can be updated between iterations of the algorithm and the results of each iteration can be aggregated. The data in each data point associated with a cluster can be consolidated into a consolidated data point.

Monitoring Of Negative Feedback Systems

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US Patent:
20150195295, Jul 9, 2015
Filed:
Jul 6, 2010
Appl. No.:
12/830927
Inventors:
Mark M. Sandler - Jersey City NJ, US
Nir Ailon - Baltimore MD, US
Raoul Sam Daruwala - Brooklyn NY, US
Ruoming Pang - New York NY, US
International Classification:
H04L 29/06
G06F 15/16
Abstract:
A computer-implemented method for identifying on-line comments as being legitimate or illegitimate is disclosed. The method includes receiving a comment directed to a piece of on-line content, randomly determining whether to review the comment manually, and providing for review of information regarding the comment by a manual reviewer if a determination is made to manually review the comment. The chance of determining whether to review the comment manually is dependent on outcomes of prior manual reviews of received comments.
Nir Y Ailon from New York, NY, age ~49 Get Report