Systems and processes for bias removal in a predictive performance model
AssigneeCangrade, Inc.
InventorsSteven Lehr, Gershon Goren, Liana Epstein
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Abstract
A hardware processor can receive a set of input data individually describing a particular asset associated with an entity. The hardware processor can receive sets of inputs individually responsive to a respective subset of queries. The hardware processor can generate a predictive model using the set of input data. The hardware processor can calculate predictive outcomes individually associated with a respective user by applying the predictive model to each respective set of inputs of the sets of inputs. The hardware processor can generate a list ranked according to the predictive outcomes for the particular asset.
Claims20
A system comprising:
- a memory device;
- and
- at least one hardware processor coupled to the memory device, wherein the at least one hardware processor is configured to at least:
- receive a set of input data individually describing a particular asset associated with an entity;
- receive a plurality of sets of inputs individually responsive to a respective subset of a plurality of queries, wherein each set of the plurality of sets of inputs is from a respective user of a plurality of users;
- generate a predictive model based at least in part on the set of input data;
- calculate a plurality of predictive outcomes individually associated with a respective one of the plurality of users by applying the predictive model to each respective set of inputs of the plurality of sets of inputs;
- and
- generate a user interface comprising the plurality of predictive outcomes for the plurality of users.
A process comprising:
- receiving, via at least one hardware processor, a set of input data individually describing a particular asset associated with an entity;
- receiving, via the at least one hardware processor, a plurality of sets of inputs individually responsive to a respective subset of a plurality of queries, wherein each set of the plurality of sets of inputs is from a respective user of a plurality of users;
- generating, via the at least one hardware processor, a predictive model based at least in part on the set of input data;
- calculating, via the at least one hardware processor, a plurality of predictive outcomes individually associated with a respective one of the plurality of users by applying the predictive model to each respective set of inputs of the plurality of sets of inputs;
- and
- generating, via the at least one hardware processor, a list ranked according to the plurality of predictive outcomes for the particular asset.
A system comprising:
- a memory device;
- and
- at least one hardware processor coupled to the memory device, wherein the at least one hardware processor is configured to at least:
- receive a set of input data individually describing a particular asset associated with an entity;
- receive a plurality of sets of inputs individually responsive to a respective subset of a plurality of queries, wherein each set of the plurality of sets of inputs is from a respective user of a plurality of users;
- generate a predictive model based at least in part on the set of input data;
- calculate a plurality of predictive outcomes individually associated with a respective one of the plurality of users by applying the predictive model to each respective set of inputs of the plurality of sets of inputs;
- and
- generate a list ranked according to the plurality of predictive outcomes for the particular asset.
Dependencies are inferred from the claim text.