Filtering Resources Using a Multilevel Classifier

摘要

A method of filtering and scoring a plurality of resources where each resource can be associated with a plurality of attribute values. For each resource at least a subset of the attribute values can be applied to an input layer of a multilevel classifier, such as a neural network. The multilevel classifier can be used to generate intra-level values for nodes in an intermediate layer of the multilevel classifier and output values for node at an output layer of the multilevel classifier. The output values and associated intra-level values can be used to determine a confidence indicator or qualification score for the resource. The confidence indicators or qualification scores for the resources can be compared to filter the resources.

主权项

1. A method of filtering and scoring a plurality of resources, wherein each resource is associated with a plurality of attribute values, comprising:
for each resource:
applying at least a subset of the attribute values to an input layer of a multilevel classifier, wherein the multilevel classifier includes a plurality of layers, each layer including a plurality of nodes;using the multilevel classifier to generate a plurality of output values at an output layer of the multilevel classifier, wherein each output value is associated with an output node and is generated using an activation function, wherein inputs to the activation function include weighted outputs from nodes in a previous layer and a bias associated with the output node;for each output value:
generating an intra-level value using an output from at least one node in the previous layer and a modified activation function; andusing the plurality of output values and associated intra-level values to determine a qualification score for the resource; and using the qualification scores for the resources to filter the resources.