System and process for automatically explaining probabilistic predictions
First Claim
1. A computer-readable medium having computer executable instructions for determining an influence of at least one possible user choice on at least one prediction of likely user choices, said computer executable instructions comprising:
- predicting at least one likely user choice based on a probabilistic model and a set of preferences for the user; and
determining the influence of at least one of the possible user choices on the prediction of at least one likely user choice.
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Accused Products
Abstract
Optimizing storage and retrieval of monitoring data. In one aspect of this disclosure, there is a system, method and computer readable medium that stores instructions for instructing a computer system, to optimize storage and retrieval of data. In this embodiment, a transfer manager component acquires the data from an archive and assigns predetermined storage values to specified parameters that form the data structure of the acquired data. A database stores the data acquired by the transfer manager component in accordance with the predetermined storage values. A middle tier component extracts the data in the database and interpolates the data in accordance with the predetermined storage values.
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Citations
22 Claims
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1. A computer-readable medium having computer executable instructions for determining an influence of at least one possible user choice on at least one prediction of likely user choices, said computer executable instructions comprising:
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predicting at least one likely user choice based on a probabilistic model and a set of preferences for the user; and
determining the influence of at least one of the possible user choices on the prediction of at least one likely user choice. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for automatically assigning scores to members of a set of at least one predictor/variable value pair representing likely user choices, comprising:
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obtaining a set of user preferences for a particular user;
computing predictor/variable value pairs for each possible user choice using the set of user preferences in combination with a probabilistic model;
computing at least one prediction of likely user choices based upon the predictor/variable value pairs;
calculating explanation scores for at least one of the predictor/variable value pairs for each prediction; and
determining the influence of at least one member of the set of predictor/variable value pairs for each prediction based upon the scores calculated for the predictor/variable value pairs. - View Dependent Claims (11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 22)
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17. A method for identifying positive and negative influences on recommendations of likely user choices, comprising:
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automatically computing predictor/variable value pairs for each possible user choice using a set of user preferences in combination with a probabilistic model;
automatically providing at least one recommendation of likely user choices based upon the predictor/variable value pairs;
automatically calculating an influence of each possible user choice for each recommendation based upon scores calculated for the predictor/variable value pairs.
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Specification