Palo Alto Research Center Inc.

Palo Alto Research Corporation Incorporated

Simon Tucker

Shane Patrick Ahern

Michael Roberts

A computer-implemented system and method for building context models in real time is provided. A database of models for a user is maintained. Each model represents a contextual situation and includes one or more actions. Contextual data is collected for the user and a contextual situation is identified for that user based on the collected contextual information. Models related to the identified situation are selected and merged. One or more actions from the merged model are then selected.

Computer-implemented system and method for building context models in real time

A computer-implemented system and method for predicting activity outcome based on user attention is provided. Sensor data is collected for a user, and an activity performed by a user is identified based on the sensor data. Features of the user are collected while performing the activity and a subject of focus of the user is determined based on the collected features. An outcome of the activity performed by the user is predicted based on the features and the determined subject of focus.

Computer-implemented system and method for predicting activity outcome based on user attention

A computer-implemented system and method for providing contextually relevant task recommendations to qualified users is provided. Sensor data is collected for a user. The user's location is determined and subsequently, an activity of the user is determined based on the sensor data and the location. Two or more recommendable items are scored based on the activity and one or more of the recommendable items with the highest scores are selected. Finally, one or more recipients qualified to perform each of the recommendable items are identified.

Computer-implemented system and method for providing contextually relevant task recommendations to qualified users

A computer-implemented system and method for dynamic travel coordination is provided. A common destination is designated for a group of travelers for arrival at a common time. A mode of travel and a set of travel criteria are designated for each traveler. The travel criteria are determined for at least one of the travelers by receiving travel criteria for the at least one traveler from another traveler and receiving from the at least one traveler modifications to the received travel criteria. An initial route to the common destination at the common arrival time is created for each of the travelers based on the travel mode and travel criteria for that traveler. The initial route of one or more of the travelers is revised based on at least one of that traveler's designated travel criteria, a progress of one or more of the travelers, and travel conditions of the initial route.

Computer-implemented system and method for dynamic travel coordination

A computer-implemented system and method for dynamically coordinating travel is provided. A plurality of travelers to arrive at a common destination at a common time are identified. A preferred mode of transportation to the destination and a starting location are received for each traveler. An initial route to the destination is generated for each of the travelers based on the received mode of transportation and starting location. Two or more of the travelers are joined by identifying possible pairings between at least two travelers and evaluating a time for each possible pairing of travelers to travel together. A time threshold is applied to the evaluated time for each possible pairing. The travelers of one such possible pairing with an evaluated time that satisfies the threshold are paired. The initial routes of the paired travelers are revised.

Computer-implemented system and method for dynamically coordinating travel

Social routing can be provided by a social router system that coordinates a group of travelers from disparate locations to reach a destination at a specified time, by dynamically recommending a traveling route to each of the travelers that comports with that traveler's traveling criteria. To recommend the route, the social router generates an initial routes for each of the travelers and revises the initial routes to join two or more travelers into one route en route to the destination based on the traveling criteria of the two or more travelers. The recommended traveling route is dynamic since the social router system allows for continuous revision of the traveling route based on changes of a traveling criteria, travel progress, conditions along the route, and other factors.

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Oakland, CA, United States of America

Simon Tucker