Patent application number | Description | Published |
20080215555 | Hybrid Approach for Query Recommendation in Conversation Systems - Techniques are disclosed for combining natural language generation with query retrieval for context appropriate query recommendation. For example, a computer-implemented method for generating a recommended query for a conversation system in response to an original user query, wherein at least a portion of the original user query is not understandable to a query interpretation process, includes the following steps. Recommendation results are computed, in response to the original user query, using a natural language generation-based recommendation process. Recommendation results are computed, in response to the original user query, using a retrieval-based recommendation process. A recommended query is generated based on consideration of at least a portion of the natural language generation-based recommendation results and at least a portion of the retrieval-based recommendation results. | 09-04-2008 |
20090132506 | METHODS AND APPARATUS FOR INTEGRATION OF VISUAL AND NATURAL LANGUAGE QUERY INTERFACES FOR CONTEXT-SENSITIVE DATA EXPLORATION - Methods and apparatus are provided for integrating a visual query interface and a natural language interface. The disclosed interface embeds a first of the visual query interface and the natural language interface into a second of the visual query interface and the natural language interface. The disclosed interface can also receives one or more natural language expressions in the natural language interface and one or more visual query expressions in the visual query interface in a same search turn. The disclosed interface can also receive a first query comprised of a first of a natural language query and a visual query; process the first query; and creates a substantially equivalent query to the first query in a second of the natural language query and the visual query The disclosed interface can process a natural language query to determine if a portion of the natural language query is not understood; and convert at least a portion of the natural language query to a visual query. | 05-21-2009 |
20130212047 | MULTI-TIERED APPROACH TO E-MAIL PRIORITIZATION - An apparatus for automating a prioritization of an incoming message, including a batch learning module that generates a global classifier based on training data that is input to the batch learning module. A feedback learning module that generates a user-specific classifier based on a plurality of feedback instances. A feature extraction module that receives the incoming message and a topic-based user model, infers a topic of the incoming message based on the topic-based user model, and computes a plurality of contextual features of the incoming message. A classification module that dynamically determines a priority classification strategy for assigning a priority level to the incoming message based on the plurality of contextual features of the incoming message and a weighted combination of the global classifier and the user-specific classifier, and classifies the incoming message based on the priority classification strategy. | 08-15-2013 |
20130339276 | MULTI-TIERED APPROACH TO E-MAIL PRIORITIZATION - A method of automating incoming message prioritization. The method including training a global classifier of a computer system using training data. Dynamically training a user-specific classifier of the computer system based on a plurality of feedback instances. Inferring a topic of the incoming message received by the computer system based on a topic-based user model. Computing a plurality of contextual features of the incoming message. Determining a priority classification strategy for assigning a priority level to the incoming message based on the computed contextual features of the incoming message and a weighted combination of the global classifier and the user specific classifier. Classifying the incoming message based on the priority classification strategy. | 12-19-2013 |
20140101085 | SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR EXPEDITING EXPERTISE - A method including generating a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, the global topic model including a topic representation for a topic, generating a plurality of user models, each user model being generated based on the activity of a respective user, generating an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, comparing a user model of the first user with the expertise model for the topic, the comparing being performed by a processor of a computer system, and recommending an activity associated with the set of data to the first user based on the comparison. | 04-10-2014 |
20140101086 | SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR EXPEDITING EXPERTISE - A system including a global topic model building module that builds a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, a user model building module that builds a plurality of user models, each user model being built based on an activity of a respective user, an expertise model building module that builds an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, a processor to compare a user model of the first user with the expertise model for the topic; and an expertise assessment and learning recommendation module that recommends an activity associated with the set of data to the first user based on the comparison. | 04-10-2014 |
20150058273 | COMPOSITE PROPENSITY PROFILE DETECTOR - Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time. | 02-26-2015 |
20150095250 | SUPPORTING INFORMATION TRANSFER DURING ORGANIZATIONAL CHANGES - A method of modeling a user includes performing a role-based classification of tangible interactions involving the user performed via a computer system of an organization, creating a collection of role-specific interactions, creating, from the collection of role-specific interactions, a plurality of role-specific models of the user, wherein the plurality of role-specific models constitute a user model of the user, outputting one or more of the role-specific models to a different user model associated with a different user, and consolidating the output one or more of the role-specific models with a second plurality of role-specific models of the different user model within the different user model. | 04-02-2015 |