PERSONAL DATA MINING
First Claim
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1. A recommendation system, comprising:
- an application component that identifies at least one valuable user action based on at least one correlation determined from user data supplied by a plurality of users; and
a notification component that suggests the action to a user.
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Abstract
Personal data mining mechanisms and methods are employed to identify relevant information that otherwise would likely remain undiscovered. Users supply personal data that can be analyzed in conjunction with data associated with a plurality of other users to provide useful information that can improve business operations and/or quality of life. Personal data can be mined alone or in conjunction with third party data to identify correlations amongst the data and associated users. Applications or services can interact with such data and present it to users in a myriad of manners, for instance as notifications of opportunities.
78 Citations
20 Claims
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1. A recommendation system, comprising:
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an application component that identifies at least one valuable user action based on at least one correlation determined from user data supplied by a plurality of users; and a notification component that suggests the action to a user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A personal recommendation method, comprising the following computer-implemented acts:
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mining personal information supplied by a plurality of users to identify at least one correlation amongst the information; and suggesting one or more actions as a function of the at least one correlation. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. An action suggestion system, comprising:
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means for identifying at least one correlation amongst sequences of data associated with a plurality of individual users; and means for suggesting an action to a user as a function of the at least one correlation and user specified criteria. - View Dependent Claims (20)
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Specification