Navigation system with classification mechanism and method of operation thereof
First Claim
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1. A method of operation of a navigation system comprising:
- generating a signal weight with a control unit based on a feature extracted from a user activity;
generating an activity model based on the signal weight for representing the feature as a positive weight, representing the signal weight above a weight threshold, or a negative weight, representing the signal weight below the weight threshold, depending on an activity type, a category of interest, or a combination thereof;
classifying a user entry newly received, including multiple instances of the feature including the activity type and the category of interest, based on comparing the activity type and the category of interest to each other for identifying the feature with the higher instance of the signal weight to compare with the activity model; and
determining a user'"'"'s intention based on the user entry classified for presenting a point of interest on a device.
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Abstract
A method of operation of a navigation system includes: generating a signal weight with a control unit based on a feature extracted from a user activity; generating an activity model based on the signal weight for representing the feature as a positive weight or a negative weight depending on an activity type, a category of interest, or a combination thereof; classifying a user entry based on comparing the feature of the user entry to the feature represented in the activity model; and determining a user'"'"'s intention based on the user entry classified for presenting a point of interest on a device.
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Citations
20 Claims
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1. A method of operation of a navigation system comprising:
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generating a signal weight with a control unit based on a feature extracted from a user activity; generating an activity model based on the signal weight for representing the feature as a positive weight, representing the signal weight above a weight threshold, or a negative weight, representing the signal weight below the weight threshold, depending on an activity type, a category of interest, or a combination thereof; classifying a user entry newly received, including multiple instances of the feature including the activity type and the category of interest, based on comparing the activity type and the category of interest to each other for identifying the feature with the higher instance of the signal weight to compare with the activity model; and determining a user'"'"'s intention based on the user entry classified for presenting a point of interest on a device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A navigation system comprising:
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a control unit for; generating a signal weight with a control unit based on a feature extracted from a user activity, generating an activity model based on the signal weight for representing the feature as a positive weight, representing the signal weight above a weight threshold, or a negative weight, representing the signal weight below the weight threshold, depending on an activity type, a category of interest, or a combination thereof, classifying a user entry newly received, including multiple instances of the feature including the activity type and the category of interest, based on comparing the activity type and the category of interest to each other for identifying the feature with the higher instance of the signal weight to compare with the activity model, determining a user'"'"'s intention based on the user entry classified, and a communication interface, coupled to the control unit, for communicating the user'"'"'s intention for displaying a point of interest on a device. - View Dependent Claims (12, 13, 14, 15)
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16. A non-transitory computer readable medium including instructions for execution, the instructions comprising:
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generating a signal weight based on a feature extracted from a user activity; generating an activity model based on the signal weight for representing the feature as a positive weight, representing the signal weight above a weight threshold, or a negative weight, representing the signal weight below the weight threshold, depending on an activity type, a category of interest, or a combination thereof; classifying a user entry newly received, including multiple instances of the feature including the activity type and the category of interest, based on comparing the activity type and the category of interest to each other for identifying the feature with the higher instance of the signal weight to compare with activity model; and determining a user'"'"'s intention based on the user entry classified for presenting a point of interest on a device. - View Dependent Claims (17, 18, 19, 20)
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Specification