| 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 |
