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. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

A flowchart-based tool can be used to build a logical structure. In the context of a customer relationship management (CRM) system, the logical structure can comprise an ordered set of questions and branching logic that are presented to a customer of the business when the customer contacts the business with an inquiry, such as for a sale or service inquiry or other interaction. An engine can run a session associated with the logical structure, with the session presenting questions, text, graphics, and the like dynamically to customer across a network, such as the Internet and a web site. Branching logic determines the appropriate information to present to the user based on answers to previous questions. The engine allows presentation of the information to the user/customer, by generating hypertext markup language (HTML) files to display the questions or other elements of the logical structure as part of a user interface on a client terminal of the customer.

Engine to present a user interface based on a logical structure, such as one for a customer relationship management system, across a web site

A method and system organize and retrieve information using taxonomies, a document classifier, and an autocontextualizer. Documents (or other knowledge containers) in an organization and retrieval subsystem may be manually or automatically classified into taxonomies. Documents are transformed from clear text into a structured record. Automatically constructed indexes help identify when the structured record is an appropriate response to a query. An automatic term extractor creates a list of terms indicative of the documents' subject matter. A subject matter expert identifies the terms relevant to the taxonomies. A term analysis system assigns the relevant terms to one or more taxonomies, and a suitable algorithm is then used to determine the relatedness between each list of terms and its associated taxonomy. The system then clusters documents for each taxonomy in accordance with the weights ascribed to the terms in the taxonomy's list and a directed acyclic graph (DAG) structure is created.

System and method for implementing a knowledge management system

The various methods and devices described herein relate to devices which, in at least certain embodiments, may include one or more sensors for providing data relating to user activity and at least one processor for causing the device to respond based on the user activity which was determined, at least in part, through the sensors. The response by the device may include a change of state of the device, and the response may be automatically performed after the user activity is determined.

Automated Response to and Sensing of User Activity in Portable Devices

Data cleaning based on similarities involves identification of "close" tuples, where closeness is evaluated using a variety of similarity functions chosen to suit the domain and application. Current approaches for efficiently implementing such similarity joins are tightly tied to the chosen similarity function. In this paper, we propose a new primitive operator which can be used as a foundation to implement similarity joins according to a variety of popular string similarity functions, and notions of similarity which go beyond textual similarity. We then propose efficient implementations for this operator. In an experimental evaluation using real datasets, we show that the implementation of similarity joins using our operator is comparable to, and often substantially better than, previous customized implementations for particular similarity functions.

https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/ssjoin.pdf

A Primitive Operator for Similarity Joins in Data Cleaning

A method and system are disclosed for retrieving information through the use of a multi-stage interaction with a client to identify particular knowledge content associated with a knowledge map. The present invention is an application program running on a server accessed via the world-wide web or other data network using standard Internet protocols, a web browser and web server software. In addition to an automated portion, the present invention allows a human dialog designer to model the way the system elicits information, giving a human feel to the dialog and a better customer experience. In operation, users start a dialog by directing their web browser to a designated web page. This web page asks the user some initial questions that are then passed to a dialog engine. The dialog engine then applies its methods and algorithms to a knowledge map, using dialog control information\ and the user's responses to provide feedback to the user. The feedback may include follow-up questions, relevant documents, and instructions to the user (e.g., instructions to contact a human customer service representative). This dialog engine response is rendered as a web page and returned to the user's web browser. The user can then respond further to the follow-up questions he or she is presented, and the cycle repeats. The invention can be implemented so that it can interact with customers through a wide variety of communication channels including the Internet, wireless devices (e.g., telephone, pager, etc.), handheld devices such as a Personal Data Assistant (PDA), email, and via a telephone where the automated system is delivered using an interactive voice response (IVR) and/or speech-recognition system.

Monica Anderson

Papers

System and method for providing an intelligent multi-step dialog with a user

WITHDRAWN PATENT AS PER THE LATEST USPTO WITHDRAWN LISTSystem and method for providing an intelligent multi-step dialog with a user

Monica Anderson

Papers

System and method for providing an intelligent multi-step dialog with a user

***WITHDRAWN PATENT AS PER THE LATEST USPTO WITHDRAWN LIST***System and method for providing an intelligent multi-step dialog with a user

WITHDRAWN PATENT AS PER THE LATEST USPTO WITHDRAWN LISTSystem and method for providing an intelligent multi-step dialog with a user