Google Inc.

Nir Ailon

Harishabd Singh Khalsa

Edo Liberty

Ruoming Pang

Mark M Sandler

Raoul Sam Daruwala

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.

Monitoring of negative feedback systems

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.

Clustering data points

Method and system for clustering data points

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New York, NY, United States of America

Nir Ailon