Patent Document ID: 9026480
Application ID: 13334020

Base Claim:
1. A method of operation of a navigation system comprising: generating a training data with a control unit from a randomly sampled uncategorized point of interest; generating a trained classifier model by training a classifier model using the training data; generating a category identifier and confidence score for an uncategorized point of interest using the trained classifier model; generating a categorized point of interest by assigning the category identifier to the uncategorized point of interest; calculating a weighted confidence score based on a weighted F-measure for the category identifier, a pair of the category identifier and the confidence score; consolidating the categorized point of interest based on the weighted confidence score for the category identifier being meeting or exceeding a threshold for displaying on a device; searching a total category set for the categorized point of interest; generating a minimum category set contains an incorrect category identifier from the total category set; and generating a maximum category set without the incorrect category identifier by eliminating the minimum category set from the total category set for the categorized point of interest.

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Claim 3:
3. The method as claimed in claim 1 further comprising: calculating the weighted F-measure for the category identifier based on a weighted precision, a weighted recall and a search weight.