System and method for ranking objects by likelihood of possessing a property
First Claim
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1. A method for ranking objects by the likelihood of possessing a property, comprising:
- a) storing electronic objects in at least one database;
b) obtaining a training set of objects related at least one of known property (Y) and known non-property (Ybar);
c) determining a likelihood that objects (q) within said population (Q) relate to at least one of said known property and known non-property;
d) ranking said objects (q) for similarity to said training set of objects.
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Abstract
A system and method for ranking objects by a likelihood of possessing a property is disclosed. The system can be used, for example, to assist in the determination of system events, such as, e.g., computer system failures, based upon an analysis of customer service reports or the like.
20 Citations
26 Claims
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1. A method for ranking objects by the likelihood of possessing a property, comprising:
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a) storing electronic objects in at least one database;
b) obtaining a training set of objects related at least one of known property (Y) and known non-property (Ybar);
c) determining a likelihood that objects (q) within said population (Q) relate to at least one of said known property and known non-property;
d) ranking said objects (q) for similarity to said training set of objects. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A computer system for facilitating the determination of the likelihood that an object possesses a property, comprising:
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a) means for storing electronic objects in at least one database;
b) means for obtaining a training set of objects related at least one of known property (Y) and known non-property (Ybar);
c) means for determining a likelihood that objects (q) within said population (Q) relate to at least one of said known property and known non-property; and
d) means for ranking said objects (q) for similarity to said training set of objects. - View Dependent Claims (17, 18, 19, 20, 21, 22)
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23. A computer system for facilitating the determination of system events, comprising:
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a) at least one input unit for inputting information related to cases;
b) at least one database for storing electronic documents based on information inputted via said at least one input unit, including a training set of documents related to at least one of known events (Y) and known non-events (Ybar);
c) a processor coupled to said at least one database and to data storage;
d) said data storage programmed to cause said processor to determine a likelihood that objects (q) within said population (Q) relate to at least one of said known events and known non-events; and
e) said data storage programmed to cause said processor to rank said objects (q) for similarity to said training set of objects. - View Dependent Claims (24, 25, 26)
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Specification