Combining topic suggestions from different topic sources to assign to textual data items
First Claim
1. A computer implemented method for combining topic suggestions from different topic sources to assign to textual data items, the method comprising:
- receiving, from a first automated topic source, one or more first topic suggestions to associate with a textual data item, each first topic suggestion having a respective first characteristic;
adjusting, by a processor of a computing device, the first characteristic of each first topic suggestion, comprising;
applying a first weight to each first topic suggestion;
receiving, from a second automated topic source, one or more second topic suggestions to associate with the textual data item, each second topic suggestion having a respective second characteristic;
adjusting the second characteristic of each second topic suggestion, comprising;
applying a second weight to each second topic suggestion;
combining the first and second topic suggestions to define a combined list of topic suggestions;
providing the combined list of topic suggestions suitable for a display device capable of displaying the combined list in a user interface;
receiving, at the processor from the display device, a selection of one or more of the topic suggestions from the combined list to assign to the textual data item; and
determining or retrieving a reference value to impact ordering of the topic suggestions in the combined list.
1 Assignment
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Accused Products
Abstract
Disclosed are systems, apparatus, methods and computer-readable storage media for combining topic suggestions from different topic sources to assign to textual data items. In some implementations, a first automated topic source provides one or more first topic suggestions to associate with a textual data item. Each first topic suggestion has a respective first characteristic, which can be adjusted. A second automated topic source provides one or more second topic suggestions to associate with the textual data item. Each second topic suggestion has a respective second characteristic, which can be adjusted. The first and second topic suggestions are combined to define a combined list. A reference value is determined or retrieved to impact ordering of the topic suggestions in the combined list.
203 Citations
20 Claims
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1. A computer implemented method for combining topic suggestions from different topic sources to assign to textual data items, the method comprising:
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receiving, from a first automated topic source, one or more first topic suggestions to associate with a textual data item, each first topic suggestion having a respective first characteristic; adjusting, by a processor of a computing device, the first characteristic of each first topic suggestion, comprising; applying a first weight to each first topic suggestion; receiving, from a second automated topic source, one or more second topic suggestions to associate with the textual data item, each second topic suggestion having a respective second characteristic; adjusting the second characteristic of each second topic suggestion, comprising; applying a second weight to each second topic suggestion; combining the first and second topic suggestions to define a combined list of topic suggestions; providing the combined list of topic suggestions suitable for a display device capable of displaying the combined list in a user interface; receiving, at the processor from the display device, a selection of one or more of the topic suggestions from the combined list to assign to the textual data item; and determining or retrieving a reference value to impact ordering of the topic suggestions in the combined list. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. One or more computing devices for combining topic suggestions from different topic sources to assign to textual data items, the one or more computing devices comprising:
one or more processors operable to execute one or more instructions to; receive, from a first automated topic source, one or more first topic suggestions to associate with a textual data item, each first topic suggestion having a respective first characteristic, adjust the first characteristic of each first topic suggestion, comprising; applying a first weight to each first topic suggestion, receive, from a second automated topic source, one or more second topic suggestions to associate with the textual data item, each second topic suggestion having a respective second characteristic, adjust the second characteristic of each second topic suggestion, comprising; applying a second weight to each second topic suggestion, combine the first and second topic suggestions to define a combined list of topic suggestions, and determine or retrieve a reference value to impact ordering of the topic suggestions in the combined list.
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20. A non-transitory computer-readable storage medium storing instructions executable by a processor to cause a method to be performed for combining topic suggestions from different topic sources to assign to textual data items, the method comprising:
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receiving, from a first automated topic source, one or more first topic suggestions to associate with a textual data item, each first topic suggestion having a respective first characteristic; adjusting the first characteristic of each first topic suggestion, comprising; applying a first weight to each first topic suggestion; receiving, from a second automated topic source, one or more second topic suggestions to associate with the textual data item, each second topic suggestion having a respective second characteristic; adjusting the second characteristic of each second topic suggestion, comprising; applying a second weight to each second topic suggestion; combining the first and second topic suggestions to define a combined list of topic suggestions; and determining or retrieving a reference value to impact ordering of the topic suggestions in the combined list.
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Specification