Method and system for classifying or clustering one item into multiple categories
First Claim
1. A method for associating an item with at least one category selected from a collection of more than one hundred categories, the method comprising:
- providing a collection of more than one hundred categories, each category including a model, each model determining a process, each process determining a degree of closeness to a set of features of items;
receiving an item;
determining a set of features associated with the item;
identifying two or more categories in the collection of more than one hundred categories that relate to the set of features, the step of identifying comprising using the set of features with a process of each category in the two or more categories to determine how well the set of features matches said each category;
forming a blended model from the identified two or more categories to derive a blended process such that the blended process yields a closer fit to the set of features of the item than that of any single process of a category from the collection of categories; and
associating the item to each of the two or more categories that were used to form the blended process, wherein the item becomes associated with fewer than ten of the categories.
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Abstract
A method (and system) for associating an item with only less than ten categories from a collection of more than hundred categories. Each category includes a model, which determines a process. The process determines a degree of closeness to a set of features of items. The method includes receiving an item (e.g., document); and determining a set of features (e.g., word, number, author) associated with the item. The method also uses the set of features with two or more processes in respective categories out of the collection of more than one hundred categories to determine how well the set of features matches the two or more categories. A step of forming a blended model from two or more categories to derive a blended process is included. The blended process yields a closer fit to the set of features of the item than that of any single process of a category from the collection of categories. The method associates the item to each of the two or more categories that were used to form the blended process.
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Citations
20 Claims
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1. A method for associating an item with at least one category selected from a collection of more than one hundred categories, the method comprising:
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providing a collection of more than one hundred categories, each category including a model, each model determining a process, each process determining a degree of closeness to a set of features of items; receiving an item; determining a set of features associated with the item; identifying two or more categories in the collection of more than one hundred categories that relate to the set of features, the step of identifying comprising using the set of features with a process of each category in the two or more categories to determine how well the set of features matches said each category; forming a blended model from the identified two or more categories to derive a blended process such that the blended process yields a closer fit to the set of features of the item than that of any single process of a category from the collection of categories; and associating the item to each of the two or more categories that were used to form the blended process, wherein the item becomes associated with fewer than ten of the categories. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for associating an item with at least one category selected from a collection of more than one hundred categories, the method comprising:
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providing a collection of more than one hundred categories, each category including a model, each model determining a process, each process determining a degree of closeness to a set of features of items; receiving an item; determining a set of features associated with the item; identifying two or more categories in the collection of more than one hundred categories that relate to the set of features, the step of identifying comprising; identifying a first category from the collection of categories whose model best matches the set of features of the item; and determining a remainder set of features from the set of features of the item, the remainder set of features having a characteristic that is not well explained by the model for the first category; and identifying a second category from the collection of categories whose model best matches the remainder set of features; forming a blended model from the identified first and second categories to derive a blended process such that the blended process yields a closer fit to the set of features of the item than that of any single process of a category from the collection of categories; and associating the item to each of the two or more categories that were used to form the blended process, wherein the item becomes associated with fewer than ten of the categories.
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11. A system for associating an item with at least one category selected from a collection of more than one hundred categories, the system having computer memory or memories that are distributed, the memory or memories comprising:
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stored data representing a collection of more than one hundred categories, the stored data for each category including a model, each model determining a process, each process determining a degree of closeness to a set of features of items; a first code directed to receive electronic information associated with an item; a second code directed to determine a set of features associated with the information from the item; a third code directed to identify two or more categories in the collection of more than one hundred categories that relate to the set of features, the step of identifying comprising using the set of features with a process of each category in the two or more categories to determine how well the set of features matches said each category; a fourth code directed to form a blended model from the identified two or more categories to derive a blended process such that the blended process yields a closer fit to the set of features of the information of the item than that of any single process of a category from the collection of categories; and a fifth code directed to associate the item to each of the two or more categories that were used to form the blended process, wherein the item becomes associated with fewer than ten of the categories. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification