Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and computer program product embodiments for adapting an automated speech recognition system to provide more accurate suggestions to voice queries involving media content including recently created or recently available content. An example computer-implemented method includes transcribing the voice query, identifying respective components of the query such as the media content being requested and the action to be performed, and generating fuzzy candidates that potentially match the media content based on phonetic representations of the identified components. Phonetic representations of domain specific candidates are stored in a domain entities index and is continuously updated with new entries so as to maintain the accuracy of the speech recognition of voice queries for recently created or recently available content.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and computer program product embodiments for adapting an automated speech recognition system to provide more accurate suggestions to voice queries involving media content including recently created or recently available content. An example computer-implemented method includes transcribing the voice query, identifying respective components of the query such as the media content being requested and the action to be performed, and generating fuzzy candidates that potentially match the media content based on phonetic representations of the identified components. Phonetic representations of domain specific candidates are stored in a domain entities index and is continuously updated with new entries so as to maintain the accuracy of the speech recognition of voice queries for recently created or recently available content.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and computer program product embodiments for adapting an automated speech recognition system to provide more accurate suggestions to voice queries involving media content including recently created or recently available content. An example computer-implemented method includes transcribing the voice query, identifying respective components of the query such as the media content being requested and the action to be performed, and generating fuzzy candidates that potentially match the media content based on phonetic representations of the identified components. Phonetic representations of domain specific candidates are stored in a domain entities index and is continuously updated with new entries so as to maintain the accuracy of the speech recognition of voice queries for recently created or recently available content.

Abstract: A query-focused faceted structure generation method, system, and computer program product for generating a query-focused faceted structure from a taxonomy for searching a document collection, including ingesting a document corpus, generating a vector space representation of a query and instances from a taxonomy of the document corpus, and producing a dynamic structure of a relevant facet categories and facet values using a two-vector space representation from the generated vector space representation.

Abstract: A query-focused faceted structure generation method, system, and computer program product for generating a query-focused faceted structure from a taxonomy for searching a document corpus, including augmenting taxonomy types with new instances where the instances comprise entities within a proximity of existing instances of taxonomy types in a local embedding of entities parsed from the document corpus, ranking each instance in the augmented taxonomy with respect to its type as a function of both a distance from an instance to a query in a global embedding vector space of the entities trained from the document corpus and a distance of an instance to a type in the local embedding, and ranking the taxonomy types using expanded instances in the document corpus for each type.

Abstract: A query-focused faceted structure generation method, system, and computer program product for generating a query-focused faceted structure from a taxonomy for searching a document collection, including ingesting a document corpus, generating a vector space representation of a query and instances from a taxonomy of the document corpus, and producing a dynamic structure of a relevant facet categories and facet values using a two-vector space representation from the generated vector space representation.

Abstract: A query-focused faceted structure generation method, system, and computer program product for generating a query-focused faceted structure from a taxonomy for searching a document corpus, including augmenting taxonomy types with new instances where the instances comprise entities within a proximity of existing instances of taxonomy types in a local embedding of entities parsed from the document corpus, ranking each instance in the augmented taxonomy with respect to its type as a function of both a distance from an instance to a query in a global embedding vector space of the entities trained from the document corpus and a distance of an instance to a type in the local embedding, and ranking the taxonomy types using expanded instances in the document corpus for each type.

Abstract: Methods, systems, and computer program products for recommending a set of learning activities are provided herein.

Abstract: Methods, systems, and computer program products for recommending a set of learning activities are provided herein.

Abstract: Methods and arrangements for conducting corruption analysis of service designs. A service design is accepted. Corrupting factors within the service design are assessed, and a corruption susceptibility score is generated. An alternative service design is generated responsive to a corruption susceptibility score fulfilling predetermined criteria.

Abstract: Methods and arrangements for conducting corruption analysis of service designs. A service design is accepted. Corrupting factors within the service design are assessed, and a corruption susceptibility score is generated. An alternative service design is generated responsive to a corruption susceptibility score fulfilling predetermined criteria.

Abstract: Techniques, an apparatus and an article of manufacture for targeted maintenance of computing devices in a system. A method includes assessing a maintenance request to determine a class of computing devices to which the request applies, selecting a propagation mechanism applicable to the class of computing devices, generating an agent based on the propagation mechanism to carry out the maintenance request on the class of computing devices, deploying the agent on at least one computing device in the class of computing devices, and propagating the agent to additional devices in the class of computing devices.

Abstract: Techniques, an apparatus and an article of manufacture for targeted maintenance of computing devices in a system. A method includes assessing a maintenance request to determine a class of computing devices to which the request applies, selecting a propagation mechanism applicable to the class of computing devices, generating an agent based on the propagation mechanism to carry out the maintenance request on the class of computing devices, deploying the agent on at least one computing device in the class of computing devices, and propagating the agent to additional devices in the class of computing devices.

Abstract: A robust method for solving in a computer, optimization problems under uncertainty including the steps of: specifying the uncertainty as a hierarchical series of sets of constraints on parameters, with the parameters restricted to each constraint set forming an ensemble, and the hierarchy of constraints, represented as mathematical sets forming a hierarchy of ensembles, said hierarchy being based on subset, intersection or disjoint relationships amongst them; utilizing optimization techniques to create effective identify minimum and maximum bounds on the each objective function, said bounds depending on the constraints comprising each ensemble of parameters and being computed for each of the assumptions about the future; estimating a volume of candidate ensembles and relating the volume to one or more information theoretic measures; and utilizing information theoretic measures to analyze and improve the candidate iteratively refine the ensembles and associated by changing a specificity of the bounds on the ob

Abstract: Methods and arrangements for conducting corruption analysis of service designs. A service design is accepted. Corrupting factors within the service design are assessed, and a corruption susceptibility score is generated. An alternative service design is generated responsive to a corruption susceptibility score fulfilling predetermined criteria.

Abstract: Methods and arrangements for conducting corruption analysis of service designs. A service design is accepted. Corrupting factors within the service design are assessed, and a corruption susceptibility score is generated. An alternative service design is generated responsive to a corruption susceptibility score fulfilling predetermined criteria.

Abstract: A system and method for integrating business logic implemented in Enterprise JavaBeans (EJBs) into a user interface framework are disclosed. A design-time environment includes an analyzer that analyzes selected EJBs and generates a model representation of the selected EJBs, and further includes a metadata provider to provide additional metadata to the model representation. A runtime environment has a generic model component to access the selected EJBs based on their model representation, and executes the selected EJBs in the user interface framework.

Abstract: A robust method for solving in a computer, optimization problems under uncertainty including the steps of: specifying the uncertainty as a hierarchical series of sets of constraints on parameters, with the parameters restricted to each constraint set forming an ensemble, and the hierarchy of constraints, represented as mathematical sets forming a hierarchy of ensembles, said hierarchy being based on subset, intersection or disjoint relationships amongst them; utilizing optimization techniques to create effective identify minimum and maximum bounds on the each objective function, said bounds depending on the constraints comprising each ensemble of parameters and being computed for each of the assumptions about the future; estimating a volume of candidate ensembles and relating the volume to one or more information theoretic measures; and utilizing information theoretic measures to analyze and improve the candidate iteratively refine the ensembles and associated by changing a specificity of the bounds on the ob

Abstract: A system and method for integrating business logic implemented in Enterprise JavaBeans (EJBs) into a user interface framework are disclosed. A design-time environment includes an analyzer that analyzes selected EJBs and generates a model representation of the selected EJBs, and further includes a metadata provider to provide additional metadata to the model representation. A runtime environment has a generic model component to access the selected EJBs based on their model representation, and executes the selected EJBs in the user interface framework.