COMBINING PREDICTIVE MODELS OF FORGETTING, RELEVANCE, AND COST OF INTERRUPTION TO GUIDE AUTOMATED REMINDING
First Claim
1. A system comprising:
- a memory jogger component configured to utilize a predictive model of human memory to effectuate automated reminding a user of an event;
a priority predictor configured to classify the event according to priority based at least in part on attributes associated with the event;
a memory predictor configured to predict whether or not the user remembers the event; and
the memory jogger component further configured to automatically send a reminder to the user of the event based on the priority of the event and an ability of the user to remember the event.
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Accused Products
Abstract
The claimed matter provides systems and/or techniques that develop or use predictive models of human forgetting to effectuate automated reminding. The system includes the use of predictive models that infer the probability that aspects of items will be forgotten, models that evaluate the relevance of recalling aspects of items in different settings, based on contextual information related to user attributes associated with the items, and models of the context-sensitive cost of interrupting users with reminders. The system can combine the probability of users forgetting aspects of an item with an assessed cost of forgetting those aspects to ascertain expected costs for not being reminded about events, compare expected costs for not being reminded with expected costs for interrupting users, and based on comparisons between expected costs for being reminded and expected costs for interrupting users regarding events, generate and deliver reminder notifications to users about items.
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Citations
20 Claims
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1. A system comprising:
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a memory jogger component configured to utilize a predictive model of human memory to effectuate automated reminding a user of an event; a priority predictor configured to classify the event according to priority based at least in part on attributes associated with the event; a memory predictor configured to predict whether or not the user remembers the event; and the memory jogger component further configured to automatically send a reminder to the user of the event based on the priority of the event and an ability of the user to remember the event. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system comprising:
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a memory jogger component configured to assess an event for relevance based on contextual information associated with a user, the contextual information includes activities or inactivities associated with the user; an attendance predictor configured to predict a probability of the user remembering one or more aspects of the event; and a cost component configured to ascertain a user specific cost for not being reminded about the one or more aspects of the event. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method implemented at least in part by a processing unit, the method comprising:
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assessing an event for relevance based on a user assessment of the event; determining a user specific cost to ascertain a cost for not being reminded about one or more aspects of the event; and sending or refraining from sending a reminder notification about the event to the user based on the relevance of the event and the user specific cost for not being reminded about the event. - View Dependent Claims (18, 19, 20)
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Specification