US 9,754,023 B2 · Stochastic document clustering using rare features

Abstract

Systems, methods, and apparatus for clustering resources using rare features are provided. For example, an environment includes an extraction module, an index module, and a cluster module. The extractions module identifies a set of resources and extracts a plurality of features from the resources. The plurality of features may be rare features. The index module identifies and generates a rare features index. The cluster module identifies at least two resources that share rare features, creates one or more clusters based on the identified at least two resources, and associates resources that share similar features with the one or more clusters. Resources that do not share similar features are not associated with the one or more clusters. Identifying at least two resources that share rare features is based at least upon a threshold.

Claims20

Dependent claims

A system comprising:

at least one processor;
memory encoding computer executable instructions that, when executed by at least one processor, perform a method of organizing resources, the method comprising:
identifying a plurality of features from a set of resources;
determining one or more of the plurality of features is a rare feature;
adding the one or more rare features to a rare feature index;
extracting the one or more rare features from the set of resources;
identifying at least two resources that share the one or more rare features;
comparing the at least two resources using a similarity threshold;
and
when the similarity threshold is met, merging the at least two resources into a single cluster.

7 more elements

Dependencies are inferred from the claim text.

Stochastic document clustering using rare features

Life of this patent

Stochastic document clustering using rare features

Life of this patent

Abstract

Claims20