Assigning into one set of categories information that has been assigned to other sets of categories
First Claim
1. A method comprising:
- automatically assigning items to target categories in a target scheme;
wherein the items assigned to the target categories in the target scheme include a first set of items;
wherein items in the first set of items have previously been assigned to source categories in a first source scheme that is different from said target scheme;
wherein the first set of items includes a particular item;
wherein the step of assigning items to categories in the target scheme includes;
receiving information about the particular item;
determining, from the information, a source category to which the particular item was assigned in the first source scheme;
determining a set of probability values, wherein each probability value in the set of probability values corresponds to a target category and represents an estimate of the probability that items associated with said source category should be assigned to said target category; and
assigning the particular item to a target category based, in part, on the source category to which the particular item was assigned and said set of probability values;
wherein the steps of the method are performed by one or more computing devices.
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Accused Products
Abstract
Techniques are described for assigning, to target categories of a target scheme, items that have been obtained from a plurality of sources. In situations in which one or more of the sources has organized its information according to a source scheme that differs from the target scheme, the assignment may be based, in part, on an estimate of the probability that items from a particular source category should be assigned to a particular target category. Such probability estimates may be based on how many training set items associated with the particular source category have been assigned to the particular target category. Source categories may be grouped into clusters. The probability estimates may also be based on how many training set items within the cluster to which the particular source category has been mapped, have been assigned the particular target category.
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Citations
22 Claims
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1. A method comprising:
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automatically assigning items to target categories in a target scheme; wherein the items assigned to the target categories in the target scheme include a first set of items; wherein items in the first set of items have previously been assigned to source categories in a first source scheme that is different from said target scheme; wherein the first set of items includes a particular item; wherein the step of assigning items to categories in the target scheme includes; receiving information about the particular item; determining, from the information, a source category to which the particular item was assigned in the first source scheme; determining a set of probability values, wherein each probability value in the set of probability values corresponds to a target category and represents an estimate of the probability that items associated with said source category should be assigned to said target category; and assigning the particular item to a target category based, in part, on the source category to which the particular item was assigned and said set of probability values; wherein the steps of the method are performed by one or more computing devices. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A non-transitory computer-readable medium that stores instructions which, when executed by one or more processors, cause one or more computing devices to perform the steps of:
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automatically assigning items to target categories in a target scheme; wherein the items assigned to the target categories in the target scheme include a first set of items; wherein items in the first set of items have previously been assigned to source categories in a first source scheme that is different from said target scheme; wherein the first set of items includes a particular item; wherein assigning items to categories in the target scheme includes; receiving information about the particular item; determining, from the information, a source category to which the particular item was assigned in the first source scheme; determining a set of probability values, wherein each probability value in the set of probability values corresponds to a target category and represents an estimate of the probability that items associated with said source category should be assigned to said target category; and assigning the particular item to a target category based, in part, on the source category to which the particular item was assigned and said set of probability values. - View Dependent Claims (19, 20, 21, 22)
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Specification