Patent application number | Description | Published |
20090112571 | METHOD FOR SEGMENTING COMMUNICATION TRANSCRIPTS USING UNSUPERVISED AND SEMI-SUPERVISED TECHNIQUES - A method is provided for forming discrete segment clusters of one or more sequential sentences from a corpus of communication transcripts of transactional communications that comprises dividing the communication transcripts of the corpus into a first set of sentences spoken by a caller and a second set of sentences spoken by a responder; generating a set of sentence clusters by grouping the first and second sets of sentences according to a measure of lexical similarity using an unsupervised partitional clustering method; generating a collection of sequences of sentence types by assigning a distinct sentence type to each sentence cluster and representing each sentence of each communication transcript of the corpus with the sentence type assigned to the sentence cluster into which the sentence is grouped; and generating a specified number of discrete segment clusters by successively merging sentence clusters according to a proximity-based measure between the sentence types assigned to the sentence clusters within sequences of the collection. | 04-30-2009 |
20090112588 | METHOD FOR SEGMENTING COMMUNICATION TRANSCRIPTS USING UNSUPERVSED AND SEMI-SUPERVISED TECHNIQUES - A method is provided for forming discrete segment clusters of one or more sequential sentences from a corpus of communication transcripts of transactional communications that comprises dividing the communication transcripts of the corpus into a first set of sentences spoken by a caller and a second set of sentences spoken by a responder; generating a specified number of sentence clusters by grouping the first and second sets of sentences according to a measure of lexical similarity using an unsupervised partitional clustering method; generating a collection of sequences of sentence types by assigning a distinct sentence type to each sentence cluster and representing each sentence of each communication transcript of the corpus with the sentence type assigned to the sentence cluster into which the sentence is grouped; and generating a specified number of discrete segment clusters by successively merging sentence clusters according to a proximity-based measure between the sentence types assigned to the sentence clusters within sequences of the collection. | 04-30-2009 |
20090271720 | METHOD FOR DERIVING INTELLIGENCE FROM ACTIVITY LOGS - Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user. | 10-29-2009 |
20090271800 | SYSTEM AND COMPUTER PROGRAM PRODUCT FOR DERIVING INTELLIGENCE FROM ACTIVITY LOGS - Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user. | 10-29-2009 |
20100235361 | Optimizing Questionnaires - Online and other electronic surveys are increasingly being looked upon as highly useful and versatile tools for gauging popular opinions in a variety of areas. Challenges continually arise in terms of optimizing questionnaires so as to maximize their effectiveness in mapping trends among a population over time. There is broadly contemplated herein, in accordance with at least one embodiment, of the invention, the automation of the usage of value dependencies by way of exposing and eliminating redundancy in survey or questionnaire databases. Dynamically, updated information can be used to continuously evolve a selection of questions, while fairness can be ensured in this selection by averting a situation of continual non-selection of certain questions. | 09-16-2010 |
20100332492 | RETRIEVAL OF RELEVANT OBJECTS IN A SIMILARITY - Techniques for retrieval of one or more relevant multi-attribute structured objects with respect to a query are provided. The techniques include receiving a query, grouping one or more attributes of one or more objects in a database into one or more groups according to how each bears a relation to the query, and using the one or more attribute groups to produce an output of one or more relevant multi-attribute structured objects in response to the query. | 12-30-2010 |
20110106580 | SYSTEM AND METHOD FOR EXAMPLE BASED TARGETED MARKETING - Embodiments of the invention provide retailers with the ability to employ concept-based marketing using only a few representative examples. Embodiments of the invention take seed examples, utilize the seed examples to provide an expanded list (that can be edited as desired) representative of the concept, and map the expanded list to a final set of customers to be included in a targeted marketing operation. | 05-05-2011 |
20120078969 | SYSTEM AND METHOD TO EXTRACT MODELS FROM SEMI-STRUCTURED DOCUMENTS - Systems and associated methods for automated and semi-automated building of domain models for documents are described. Embodiments provide an approach to discover an information model by mining documentation about a particular domain captured in the documents. Embodiments classify the documents into one or more types corresponding to concepts using indicative words, identify candidate model elements (concepts) for document types, identify relationships both within and across document types, and consolidate and learn a global model for the domain. | 03-29-2012 |
20120109664 | OPTIMIZED CUSTOMER TARGETING BASED ON TEMPLATE CRM OFFERS - A Customer Relationship Management (CRM) offer template is established in data storage and includes at least one variable field and having at least one offer attribute. For each of a plurality of customer groups, a data processing system calculates an expected benefit to be obtained by sending an instantiated CRM offer to a customer based upon historical responses, offer cost, and legal values of the at least one variable field. The data processing system outputs a CRM offer instance and target list of customers that maximizes the expected benefit. | 05-03-2012 |
20120123987 | SYSTEMS AND METHODS FOR DYNAMICALLY RECONFIGURING PREDICTIVE ANALYTICS WITHIN WORKFLOWS USING SELECTIVE USER FEEDBACK - Methods and arrangements for managing and enhancing workflow. A work item is accepted and the is routed from a first node to a second node based on a predictive analytics model. The predictive analytics model is validated, and is reconfigured responsive to the validating. | 05-17-2012 |
20120323835 | DYNAMICALLY RECONFIGURING PREDICTIVE ANALYTICS WITHIN WORKFLOWS USING SELECTIVE USER FEEDBACK - Methods and arrangements for managing and enhancing workflow. A work item is accepted and the is routed from a first node to a second node based on a predictive analytics model. The predictive analytics model is validated, and is reconfigured responsive to the validating. | 12-20-2012 |
20130325881 | Supplementing Structured Information About Entities With Information From Unstructured Data Sources - According to a present invention embodiment, a system supplements structured information within a data system for entities based on unstructured data. The system analyzes a document with unstructured data and extracts attribute values from the unstructured data for one or more entities of the data system. Entity records with structured information are retrieved from the data system based on the extracted attribute values. Entity references for corresponding entities of the data system are constructed based on a comparison of the retrieved entity records and the extracted attribute values. The entity references are linked to the corresponding entities within the data system, wherein the entity references include extracted attributes from the unstructured data for corresponding linked entities. Embodiments of the present invention further include a method and computer program product for supplementing structured information within a data system for entities based on unstructured data in substantially the same manner described above. | 12-05-2013 |
20130325882 | SUPPLEMENTING STRUCTURED INFORMATION ABOUT ENTITIES WITH INFORMATION FROM UNSTRUCTURED DATA SOURCES - A method for supplementing structured information within a data system for entities based on unstructured data analyzes a document with unstructured data and extracts attribute values from the unstructured data for one or more entities of the data system. Entity records with structured information are retrieved from the data system based on the extracted attribute values. Entity references for corresponding entities of the data system are constructed based on a comparison of the retrieved entity records and the extracted attribute values. The entity references are linked to the corresponding entities within the data system, with the entity references including extracted attributes from the unstructured data for corresponding linked entities. | 12-05-2013 |