Abstract:
A system and method for guiding a user in building a query are disclosed. The method includes providing an interaction space in which a user formulates a query using a plurality of query building blocks selected from a predefined set of query building blocks. The user's formulation of the query is guided. Guiding selection of at least a next building block is provided by at least one of a content-based mechanism which limits the selection of the next building block to those which will yield at least one result from an indexed collection of documents, a structure-based selection mechanism which limits the selection of the next building block to those which meet a predefined grammar, and a usage-based selection mechanism which proposes a next building block based on patterns of building blocks used in building prior queries. Each of these guidance mechanisms may be provided with the result that the next block proposed is informed by each of the mechanisms.
Abstract:
A system and method for visualizing performance metrics are disclosed. The system includes a data acquisition component which collects information related to a set of agents operating in a work environment, a performance metric computation component which computes, for one of the agents, values for a performance metric at each of a plurality of times within a selected time period, and a representation generator which generates a representation for display to the agent, the representation providing the agent with information on the agent's current value for the performance metric. A processor implements the data acquisition component, the performance metric computation component, and the representation generator.
Abstract:
A method for assisting a user to connect a problem with a device, such as a printer includes extracting, from records comprising user actions on the device, string of user actions on the device. The string of user action is compared with at least one predetermined sequence of user actions for correction of predefined problem with the device. Based on the comparison, an evaluation is made as to whether at least one prior user has attempted the predetermined sequence and, if so, a procedure is implemented to avoid a user repeating the prior attempt.
Abstract:
A system and method are provided for refining a user's query. An entity index, generated from a corpus of text documents, is provided. The entity index includes a set of entity structures, each including a plurality of terms. Each of the terms of an entity structure is a feature of the same entity. Entity structures can be retrieved from the entity index which match at least a portion of the user's query. Clusters of the retrieved entity structures are identified which have at least one of their terms in common. A cluster hierarchy is generated from the identified clusters in which nodes of the hierarchy are defined by one or more of the terms of the retrieved entity structures. At least a portion of the cluster hierarchy is presented to the user for facilitating refinement of the user's query through user selection of a node which, when formulated as a search, retrieves one or more responsive documents from the corpus of documents.
Abstract:
A system and method for guiding a user in building a query are disclosed. The method includes providing an interaction space in which a user formulates a query using a plurality of query building blocks selected from a predefined set of query building blocks. The user's formulation of the query is guided. Guiding selection of at least a next building block is provided by at least one of a content-based mechanism which limits the selection of the next building block to those which will yield at least one result from an indexed collection of documents, a structure-based selection mechanism which limits the selection of the next building block to those which meet a predefined grammar, and a usage-based selection mechanism which proposes a next building block based on patterns of building blocks used in building prior queries. Each of these guidance mechanisms may be provided with the result that the next block proposed is informed by each of the mechanisms.
Abstract:
Systems and methods are employed to quantify resource usage for review by a user. Marking engine data contains information related to a print job sent to the marking engine and community data relates to resource usage by members of a plurality of communities within a system. A resource profiling component receives the marking engine data and the community data to evaluate resource usage by a user compared to one or more of a user within their community. A visualization component receives the evaluation from the resource profiling component, generates a graphic associated with the evaluation and presents and distributes the graphic to one or more recipients.
Abstract:
A time-to-collect measure is disclosed which may be used in generating a model for predicting an expected time-to-collect for print jobs. In the case of incomplete data, an algorithm recovers an optimal assignment of links between submission and collection events which allows a time to collect to be computed for one or more prior print jobs. A printing system may incorporate a time-to-collect system for making decisions based on the measure, such as the scheduling of pending print jobs or planning placement of printers.
Abstract:
A system for providing item recommendations includes a memory, a device, responsive to a user request, for recording an item on a hardcopy medium, and a processor, for storing ratings of items and for generating recommendations for new items based on recommendation criteria. In response to the user request, the processor stores an implicit rating for the requested item in the memory, determines whether, based on the implicit rating and the recommendation criteria, to generate an item recommendation, and if the criteria for generating a recommendation is met, generates a recommendation of a new item. The recommender system may further store a representation of the recorded item in the memory. Recommendations may be based on item to item similarities, item to user similarities or user to user similarities.
Abstract:
A computer retrieval system includes memory which stores instructions for (1) receiving a user query in a natural language, (2) identifying text strings from an associated knowledge base, each containing at least one expression (word or multi-word expression) which is matched with at least one expression of the user query, (3) refining the user query by representing at least a group of the text strings as a navigation tree in which each of a plurality of selectable nodes comprises an expression representative of at least one syntactic unit in at least one of the identified text strings and wherein relationships between syntactic units are used in structuring the nodes of the navigation tree, and (4) retrieving text from the knowledge base related to the refined query. A processor executes the instructions.
Abstract:
An electronic board system includes an electronic board having a screen for displaying information of interest to a work group or community, an input device for receiving information from users in a group or community to be displayed on the electronic board, a memory for storing information received from the input device and a processor for selecting which information stored in the memory to display on the screen, where and how to display the selected information on the screen and displaying the selected information on the screen. The processor selects which information to display in accordance with a predetermined relationship based on a group-based recommendation criteria and user interest. A plurality of sensors disposed behind the screen detect user interest in information displayed on the screen near the sensor. User interest may also be determined by monitoring user requests for copies of information displayed on the screen.