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Patent

Harnessing information about the timing of a user's client-server interactions to enhance messaging and collaboration services

TLDR
In this paper, a system and method is provided to facilitate communication and collaboration by considering the timing of a user's activities on one or more clients via accessing, from a centralized server, information about the user's client-server interactions.
Abstract
A system and method is provided to facilitate communication and collaboration by considering the timing of a user's activities on one or more clients via accessing, from a centralized server, information about the user's client-server interactions. The systems and methods can harness existing protocols and data exchange used in legacy client-server applications for email, making available to one or more client-side message routing applications, information about a user's interactions with email across multiple clients. Applications include considering the time since the last client-server interaction to guide decisions about if, when, and how to route messages so as to limit the mobile relay of information a user has already seen, providing information to colleagues about a user's current or past “inbox presence,” and forecasting the time until a user will have access to a device or communication channel.

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Citations
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Patent

Intelligent Automated Assistant

TL;DR: In this article, an intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions.
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Using context information to facilitate processing of commands in a virtual assistant

TL;DR: In this article, a virtual assistant uses context information to supplement natural language or gestural input from a user, which helps to clarify the user's intent and reduce the number of candidate interpretations of user's input, and reduces the need for the user to provide excessive clarification input.
Patent

Methods and architecture for cross-device activity monitoring, reasoning, and visualization for providing status and forecasts of a users' presence and availability

TL;DR: In this article, the authors present a system and methodology to facilitate collaboration and communications between entities such as between automated applications, parties to a communication and/or combinations thereof by learning predictive models that provide forecasts of one or more aspects of a users' presence and availability.
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Schema-based services for identity-based data access

TL;DR: In this article, a schema-based service for Internet access to per-user services data is proposed, where access to data is based on each user's identity and each user manipulates (e.g., reads or writes) data in the logical document by data access requests through defined methods.
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Method and apparatus for building an intelligent automated assistant

TL;DR: In this paper, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontologies includes at least one active processing element that models a domain.
References
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Book ChapterDOI

Text Categorization with Suport Vector Machines: Learning with Many Relevant Features

TL;DR: This paper explores the use of Support Vector Machines for learning text classifiers from examples and analyzes the particular properties of learning with text data and identifies why SVMs are appropriate for this task.
Book

Fast training of support vector machines using sequential minimal optimization

TL;DR: In this article, the authors proposed a new algorithm for training Support Vector Machines (SVM) called SMO (Sequential Minimal Optimization), which breaks this large QP problem into a series of smallest possible QP problems.
Proceedings Article

Empirical analysis of predictive algorithms for collaborative filtering

TL;DR: Several algorithms designed for collaborative filtering or recommender systems are described, including techniques based on correlation coefficients, vector-based similarity calculations, and statistical Bayesian methods, to compare the predictive accuracy of the various methods in a set of representative problem domains.
Journal ArticleDOI

The active badge location system

TL;DR: A novel system for the location of people in an office environment is described, where members of staff wear badges that transmit signals providing information about their location to a centralized location service, through a network of sensors.
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