US 2017/0372267 A1Published application

Contextual model-based event rescheduling and reminders

AssigneeIntel Corporation

InventorsRonen Aharon Soffer, Oded Vainas, Gili Ilan, Noam Sagi, Merav Greenfeld

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Abstract

Various techniques for performing contextual event rescheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This model is operated by the event scheduling service determine a contextual action option for rescheduling an electronic communication event at a proposed time with proposed scheduling parameters. The model may identify the proposed time and event scheduling parameters, from data indicating a user state, or external data, in addition to a semantic text option (such as “Call Back After Meeting”) corresponding to the proposed time and event scheduling parameters. Further examples to evaluate user activity and identify reschedule options based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

Claims25

Dependent claims

A communication device, comprising processing circuitry to:

perform a determination to reschedule an electronic communication event, wherein the electronic communication event is to be rescheduled from a prior time to a future time, and wherein the electronic communication event is to occur between the communication device operated by a user and another communication device operated by another user;
transmit, to an event scheduling service, a request for rescheduling the electronic communication event, wherein the request for the rescheduling includes contextual information related to a state of the user, and wherein the contextual information indicates a state of the communication device and activity of the user;
and
receive, from the event scheduling service, a contextual action option for rescheduling the electronic communication event, wherein the event scheduling service provides a proposed event reschedule time and event scheduling parameters in the contextual action option in response to processing of the contextual information;
wherein the event scheduling service uses a trained machine learning model to determine the proposed event reschedule time and the event scheduling parameters based on the contextual information related to the state of the user.

2 more elements

At least one machine readable storage medium, comprising a plurality of instructions that, responsive to being executed with processor circuitry of a communication device, cause the communication device to perform electronic operations that:

perform a determination to reschedule an electronic communication event, wherein the electronic communication event is to be rescheduled from a prior time to a future time, and wherein the electronic communication event is to occur between the communication device operated by a user and another communication device operated by another user;
transmit, to an event scheduling service, a request for rescheduling the electronic communication event, wherein the request for the rescheduling includes contextual information related to a state of the user, and wherein the contextual information indicates a state of the communication device and activity of the user;
and
receive, from the event scheduling service, a contextual action option for rescheduling the electronic communication event, wherein the event scheduling service provides a proposed event reschedule time and event scheduling parameters in the contextual action option in response to processing of the contextual information;
wherein the event scheduling service uses a trained machine learning model to determine the proposed event reschedule time and the event scheduling parameters based on the contextual information related to the state of the user.

2 more elements

Dependencies are inferred from the claim text.