Neural network for electronic search applications

Details Neural network for electronic search applications Neural network for electronic search applications

2006-08-29

2009-02-24

Vincent, David R (Department: 2129)

Data processing: artificial intelligence

Neural network

Learning task

C706S031000, C706S032000

Reexamination Certificate

active

07496548

ABSTRACT:
A system, method and computer program product for information searching includes (a) a first layer with a first plurality of neurons, each of the first plurality of neurons being associated with a word and with a set of connections to at least some neurons of the first layer; (b) a second layer with a second plurality of neurons, each of the second plurality of neurons being associated with an object and with a set of connections to at least some neurons of the second layer, and with a set of connections to some neurons of the first layer; (c) a third layer with a third plurality of neurons, each of the third plurality of neurons being associated with a sentence and with a set of connections to at least some neurons of the third layer, and with a set of connections to at least some neurons of the first layer and to at least some neurons of the second layer; and (d) a fourth layer with a fourth plurality of neurons, each of the fourth plurality of neurons being associated with a document and with a set of connections to at least some neurons of the fourth layer, and with a set of connections to at least some neurons of other layers. A query to the first layer identifies to a user, through the fourth layer, a set of documents that are contextually relevant to the query. Each connection has a corresponding weight and optional flags.

REFERENCES:
Kwok, A Neural Network for Probabilistic Information Retrieval, 1989.
Bengio, A Neural Probabilistic Language Model 2001.
He, “Neural Network and Its Application in IR”, 1999.

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