Max Copperman

Bio: Max Copperman is an academic researcher from Xerox. The author has contributed to research in topics: Debugger & User interface. The author has an hindex of 16, co-authored 31 publications receiving 5291 citations. Previous affiliations of Max Copperman include University of California, Santa Cruz & Nuance Communications.

Intelligent Paper

Abstract: Some researchers have recently been calling attention to certain lasting “affordances” of paper documents over digital ones [21, 17]. Whereas the relationship between the two media is often assumed to be one of competition, in fact it is one of complementarity. While digital documents are dynamic (evolving in time), immaterial (made of informational substance), and agentive (capable of initiating actions), paper documents are:

System and method for implementing a knowledge management system

Abstract: 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.

Cross-network functions via linked hardcopy and electronic documents

Abstract: An identifiable sheet includes an area of sheet medium and, within the area, machine-readable markings that define two or more zones (202). The markings within the zones indicate a sheet identifier (208) identifying the identifiable sheet. The orientation of the sheet is given by an orientation marker (206). The position of the zones are given by markings (210) representing the zones position.

Marking medium area with encoded identifier for producing action through network

Abstract: Automatic actions can be obtained through a network using an area of marking medium with machine-readable markings that encode an action/medium identifier. The action/medium identifier identifies an action that can be produced through the network, and also identifies the area of marking medium. For example, it may include a globally unique or network-wide page identifier as well as an action identifier that can be used to produce an action described by data associated with a counterpart digital page. Or it can include both a page identifier and a location identifier, with the location identifier also identifying an action that relates to the page's digital counterpart. Or it can include a document identifier and an action identifier. Or it can be a globally unique or network-wide sticker identifier that can be used to identify a document, a peripheral device, or another object to which the sticker is attached, and that also produces an action through the network.

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

Abstract: 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.

System and method for knowledge retrieval, management, delivery and presentation

Abstract: The present invention is directed to an integrated implementation framework and resulting medium for knowledge retrieval, management, delivery and presentation. The system includes a first server component that is responsible for adding and maintaining domain-specific semantic information and a second server component that hosts semantic and other knowledge for use by the first server component that work together to provide context and time-sensitive semantic information retrieval services to clients operating a presentation platform via a communication medium. Within the system, all objects or events in a given hierarchy are active Agents semantically related to each other and representing queries (comprised of underlying action code) that return data objects for presentation to the client according to a predetermined and customizable theme. This system provides various means for the client to customize and “blend” Agents and the underlying related queries to optimize the presentation of the resulting information.

Intelligent Automated Assistant

Abstract: 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.

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

Abstract: 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.

Personalized interactive digital catalog profiling

Abstract: A system and method of interactive cataloging of products and services by end users across multiple sales and marketing channels provide each end user with access to domain-independent catalog data from a plurality of vendor organizations through a catalog server system. Anonymous end user cataloging actions of products and/or services across multiple manufacturing, distribution, and retailing channels create personalized profile instances that are based on stored vendor catalog profile templates in the catalog server system, and stored in the end user's personalized electronic catalog as pre-sale digital receipts. An end user's personalized electronic catalog(s) can be shared with peers using mutual agreement permissions as managed by the catalog server system. Pre-sale digital receipts are used to provide a safe, secure, and convenient method for modifying an end user's actionable cataloged items from a pre-sale status to purchased status when purchased and to provide a traceable audit trail for each cataloged item or purchased item in order to facilitate respective pre-sales channel activities and post-sales channel support and services.

System and method for implementing a knowledge management system

Abstract: 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.