Association learning for automated recommendations
First Claim
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1. A method comprising:
- generating correlation data from initialization data representing relations between entities;
generating a directed graph from the correlation data;
providing one or more recommendations from the directed graph using a request as input;
storing training data in response to user activity; and
adapting the correlation data using the training data as input.
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Abstract
A system is disclosed to provide associative learning and recommendations. The system includes a learning engine recommendation process that provides one or more recommendations based on user input, a learning engine initiation process that generates initial training data, and a learning engine training process that transforms initial training data and subsequent training data into entity-pair relationships. The system may include user interfaces that allow each user to request and receive recommendations and a confirmation process that captures and stores training data based on user feedback regarding recommendations.
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Citations
54 Claims
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1. A method comprising:
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generating correlation data from initialization data representing relations between entities;
generating a directed graph from the correlation data;
providing one or more recommendations from the directed graph using a request as input;
storing training data in response to user activity; and
adapting the correlation data using the training data as input. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. An article comprising a machine-readable medium storing machine-readable instructions that, when applied to the machine, cause the machine to:
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generate correlation data from initialization data representing associations between entities;
generate a directed graph from the correlation data;
provide one or more recommendations from the directed graph using a request as input;
store training data in response to user activity; and
adapt the correlation data using the training data as input. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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37. A system comprising:
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a computer network;
a directory coupled to the network, the directory storing correlation data, training data, and configuration data;
user interfaces coupled to the network to allow each user independently to request and receive recommendations; and
a service delivery device coupled to the network, the service delivery device including a processor and memory storing instructions that, in response to receiving a request for recommendations, cause the processor to;
generate the correlation data from initialization data representing associations between entities;
generate a directed graph from the correlation data;
provide one or more recommendations from the directed graph using a request as input;
store the training data in response to user activity; and
adapt the correlation data using the training data as input. - View Dependent Claims (38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54)
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Specification