SYSTEM AND METHOD FOR PROVIDING AN INTELLIGENT MULTI-STEP DIALOG WITH A USER

Patent №

US 7,539,656

Granted

2009-05-26

Filed 2001

Owner

KANISA, INC.

+1 more

Lab

AI components

4

nlp · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09798964

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.

Natural languageSpeechPlanningAI hardwareG06N 5/042G06F 16/3329G06F 16/954Y10S 707/99933Y10S 707/99945

AI classification

Natural language1.00
Speech1.00
Planning0.58
AI hardware0.58
Machine learning0.22
Knowledge representation0.04
Vision0.00
Evolutionary computation0.00

Ownership

KANISA, INC.

assignment · 119050549

CONSONA CRM INC.

merger · 200870633

Assignors

FRATKINA, RAYA, ANDERSON, MONICA, ANGEL, MARK A., COPPERMAN, MAX, HUFFMAN, SCOTT B., KAY, DAVID, STERN, ROBERT

On an employer assignment, the assignors are typically the inventors.

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