Predicting the future state of a mobile device user
First Claim
Patent Images
1. A method comprising:
- by one or more computing devices, accessing first data associated with mobile-computing-device usage by a user of a social-networking system;
by one or more computing devices, accessing second data associated with past user states of the user, a user state of the user comprising a temporal, spatial, modal, or social accessibility of the user;
by one or more computing devices, predicting, by a weighted set of predictor functions, wherein each predictor function comprises a machine-learned algorithm trained for a particular user state, based at least in part on the first and second data;
a future user state of the user at a future time, the future user state comprising theuser traveling within a geographical area; and
a future mobile-computing-device-usage by the user at the future time;
by one or more computing devices, adapting the operation of a mobile computing device of the user at the future time to the future user state; and
by one or more computing devices, adapting network interaction with a mobile computing device of the user at the future time to the future mobile-computing-device usage, the adaptation comprising requesting interaction by the mobile computing device with the social-networking system by automatically selecting social-networking information to push to the mobile computing device of the user relevant to the user traveling within the geographical area.
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Abstract
In one embodiment, a method includes accessing data associated with the mobile-computing-device usage of a user; accessing data associated with past user-states of the user, where the past user-states represent previous activities or actions associated with the user'"'"'s mobile-computing-device usage; predicting a future user-state of the user based, at least in part, on the accessed data; and adapting the operation of the mobile computing device of the user at the future time based on the predicted future user-state.
46 Citations
17 Claims
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1. A method comprising:
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by one or more computing devices, accessing first data associated with mobile-computing-device usage by a user of a social-networking system; by one or more computing devices, accessing second data associated with past user states of the user, a user state of the user comprising a temporal, spatial, modal, or social accessibility of the user; by one or more computing devices, predicting, by a weighted set of predictor functions, wherein each predictor function comprises a machine-learned algorithm trained for a particular user state, based at least in part on the first and second data; a future user state of the user at a future time, the future user state comprising the user traveling within a geographical area; and a future mobile-computing-device-usage by the user at the future time; by one or more computing devices, adapting the operation of a mobile computing device of the user at the future time to the future user state; and by one or more computing devices, adapting network interaction with a mobile computing device of the user at the future time to the future mobile-computing-device usage, the adaptation comprising requesting interaction by the mobile computing device with the social-networking system by automatically selecting social-networking information to push to the mobile computing device of the user relevant to the user traveling within the geographical area. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
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access first data associated with mobile-computing-device usage by a user of a social-networking system; access second data associated with past user states of the user, a user state of the user comprising a temporal, spatial, modal, or social accessibility of the user; predict, by a weighted set of predictor functions, wherein each predictor function comprises a machine-learned algorithm trained for a particular user state, based at least in part on the first and second data; a future user state of the user at a future time, the future user state comprising the user traveling within a geographical area; and a future mobile-computing-device usage by the user at the future time; adapt the operation of a mobile computing device of the user at the future time to the future user state; and adapt network interaction with a mobile computing device of the user at the future time to the future mobile-computing-device usage, the adaptation comprising requesting interaction by the mobile computing device with the social-networking system by automatically selecting social-networking information to push to the mobile computing device of the user relevant to the user traveling within the geographical area. - View Dependent Claims (11, 12, 13, 14)
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15. A system comprising:
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one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to; access first data associated with mobile-computing-device usage by a user of a social-networking system; access second data associated with past user states of the user, a user state of the user comprising a temporal, spatial, modal, or social accessibility of the user; predict, by a weighted set of predictor functions, wherein each predictor function comprises a machine-learned algorithm trained for a particular user state, based at least in part on the first and second data; a future user state of the user at a future time, the future user state comprising the user traveling within a geographical area; and a future mobile-computing-device usage by the user at the future time; adapt the operation of a mobile computing device of the user at the future time to the future user state; and adapt network interaction with a mobile computing device of the user at the future time to the future mobile-computing-device usage, the adaptation comprising requesting interaction by the mobile computing device with the social-networking system by automatically selecting social-networking information to push to the mobile computing device of the user relevant to the user traveling within the geographical area. - View Dependent Claims (16, 17)
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Specification