Rule-based management of adaptive models and agents
First Claim
1. A system for making a recommendation with respect to a plurality of items using a plurality of adaptive agents comprising:
- a plurality of adaptive agents each programmed to generate one or more recommendations with respect to one or more of the items based at least in part on an evaluation of prior outcomes relating to the items;
a management system arranged and programmed to receive one or more business rules, and manage the plurality of adaptive agents according to the business rules such that at least one final recommendation is selected from among the one or more recommendations from the plurality of adaptive agents; and
a user interface adapted to display at least one final recommendation to a user;
wherein at least some of adaptive agents have variable learning rates, the learning rate influencing a degree on which prior outcomes are relied upon when selecting a choice.
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Abstract
A computer-implemented method described for making a recommendation with respect to a plurality of items using a plurality of adaptive models or agents. The described method includes receiving one or more business rules; receiving a request for a recommendation; receiving attributes relating to the request; activating one or more adaptive agents such that each activated adaptive agent generates one or more recommendations with respect to the items based at least in part on an evaluation of prior outcomes relating to the items; selecting from among the one or more recommendations at least one final recommendation; and displaying the at least one final recommendation to a user. Related apparatus, systems, techniques and articles are also described.
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Citations
56 Claims
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1. A system for making a recommendation with respect to a plurality of items using a plurality of adaptive agents comprising:
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a plurality of adaptive agents each programmed to generate one or more recommendations with respect to one or more of the items based at least in part on an evaluation of prior outcomes relating to the items; a management system arranged and programmed to receive one or more business rules, and manage the plurality of adaptive agents according to the business rules such that at least one final recommendation is selected from among the one or more recommendations from the plurality of adaptive agents; and a user interface adapted to display at least one final recommendation to a user; wherein at least some of adaptive agents have variable learning rates, the learning rate influencing a degree on which prior outcomes are relied upon when selecting a choice. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A computer-implemented method for making a recommendation with respect to a plurality of items using a plurality of adaptive agents comprising:
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receiving one or more business rules; receiving a request for a recommendation; receiving attributes relating to the request; activating one or more adaptive agents such that each activated adaptive agent generates one or more recommendations with respect to the one or more items based at least in part on an evaluation of prior outcomes relating to the items; selecting from among the one or more recommendations at least one final recommendation; and displaying the at least one final recommendation to a user; wherein at least some of adaptive agents have variable learning rates, the learning rate influencing a degree on which prior outcomes are relied upon when selecting a choice. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
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39. An article comprising a tangible machine-readable storage medium embodying instructions that when performed by one or more machines result in operations for making a recommendation with respect to a plurality of items using a plurality of adaptive agents comprising:
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receiving one or more business rules; receiving a request for a recommendation; receiving attributes relating to the request; activating one or more adaptive agents such that each activated adaptive agent generates one or more recommendations with respect to the one or more items based at least in part on an evaluation of prior outcomes relating to the items; selecting from among the one or more recommendations at least one final recommendation; and displaying the at least one final recommendation to a user; wherein at least some of adaptive agents have variable learning rates, the learning rate influencing a degree on which prior outcomes are relied upon when selecting a choice. - View Dependent Claims (40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56)
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Specification