Recommendation system that identifies a valuable user action by mining data supplied by a plurality of users to find a correlation that suggests one or more actions for notification
First Claim
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1. A recommendation system, comprising:
- a memory and a processor;
an application component stored in the memory and executable on the processor that identifies at least one valuable user action based on at least one correlation determined from user data supplied by a plurality of users, the application component identifies individuals who are working on a similar project; and
a notification component stored in the memory and executable on the processor to generate a notification to at least one of the plurality of users that suggests the action, the notification component suggests the user consult with the individuals.
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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.
142 Citations
20 Claims
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1. A recommendation system, comprising:
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a memory and a processor; an application component stored in the memory and executable on the processor that identifies at least one valuable user action based on at least one correlation determined from user data supplied by a plurality of users, the application component identifies individuals who are working on a similar project; and a notification component stored in the memory and executable on the processor to generate a notification to at least one of the plurality of users that suggests the action, the notification component suggests the user consult with the individuals. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. 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; suggesting one or more actions as a function of the at least one correlation; and mining the personal information in accordance with a user defined algorithm. - View Dependent Claims (11, 12, 13, 14)
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15. 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; suggesting one or more actions as a function of the at least one correlation; providing at least a portion of the personal information to one or more advertisers; and selling the information to the one or more advertisers and providing at least a portion of the revenue to a user. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification