Enterprise relevancy ranking using a neural network

Details Enterprise relevancy ranking using a neural network Enterprise relevancy ranking using a neural network

2007-10-18

2010-11-23

Le, Debbie (Department: 2168)

Data processing: database and file management or data structures

Database and file access

Preparing data for information retrieval

C707S728000, C707S752000, C706S062000

Reexamination Certificate

active

07840569

ABSTRACT:
A neural network is used to process a set of ranking features in order to determine the relevancy ranking for a set of documents or other items. The neural network calculates a predicted relevancy score for each document and the documents can then be ordered by that score. Alternate embodiments apply a set of data transformations to the ranking features before they are input to the neural network. Training can be used to adapt both the neural network and certain of the data transformations to target environments.

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