Patent application number | Description | Published |
20080318616 | FLEXIBLE LIFESTYLE PORTABLE COMMUNICATIONS DEVICE - A method may include receiving a call at a portable communication device, entering a first mode when the call is directed to a first device identifier associated with the portable communication device; and entering a second mode when the call is directed to a second device identifier associated with the portable communication device, wherein the first mode provides access to a first set of applications and a first set of user data and the second mode provides a second set of applications and a second set of user data. | 12-25-2008 |
20120109762 | METHOD AND APPARATUS FOR PROVIDING MOBILE PAYMENT THROUGH A DEVICE USER INTERFACE - An approach is provided for facilitating the purchase of items at a point-of-sales terminal based on barcode information presented by a wireless communication device. Barcode information is received at a point-of-sales terminal as obtained from a wireless communication device. A message in response to the received barcode information is generated for transmission to the wireless communication device to permit acknowledgement of the purchase transaction by a user of the wireless communication device. | 05-03-2012 |
20120110074 | METHOD AND APPARATUS FOR DELIVERY OF CONTENT TO A MOBILE DEVICE - An approach is provided for facilitating the delivery of content to a device through activation of an indicator executable on the device. One or more user devices are determined to receive the content from a content delivery platform using an electronic directory service. An application to provide an indicator representing the content is pushed to the device for initiating a request for the content from the device. In response to the request, a determination is made as to whether to grant the request for delivery of the content to the device. | 05-03-2012 |
20130041770 | PERSISTENT NETWORK-BASED ELECTRONIC TRANSACTION SERVICES - A system configured to receive a request to perform an electronic transaction associated with merchant equipment, where the request identifies one or more value-added services that are to be provided when the transaction is performed; retrieve workflow information, associated with a workflow that corresponds to the transaction, where the workflow information identifies how the transaction is to be performed and how the value-added services are to be provided; obtain information associated with one or more second server devices that provide the value-added services; instruct the second server devices to provide the value-added services, in a manner that conforms to the workflow information, based on the information associated with the one or more second server devices; perform the transaction in a manner that conforms to the workflow information; and transmit, to the merchant equipment, a notification that the transaction has been performed or that the value-added services have been provided. | 02-14-2013 |
20130117121 | CONTENT DELIVERY USING SOCIAL AFFINE TARGETING - A content delivery system using social affine targeting may include a device that determines, based on presence information received from mobile devices, users in a vicinity of an electronic billboard. The device may further determine, based on user behavior information relating to the users, affinities of the users; and determine commonality of the affinities of the users. Still further, the device may select, based on the determined commonality of the affinities, one or more advertisements to present by the electronic billboard; and transmit the selected one or more advertisements to the electronic billboard. | 05-09-2013 |
20140149128 | HEALTHCARE FRAUD DETECTION WITH MACHINE LEARNING - A system receives healthcare information, calculates a geographic density of healthcare fraud based on the healthcare information, and determines anomalous distributions of healthcare fraud based on the healthcare information. The system derives empirical estimates of procedure and treatment durations based on the healthcare information, utilizes classifiers to determine first inconsistencies in the healthcare information, and utilizes language models and co-morbidity analysis to determine second inconsistencies in the healthcare information. The system utilizes link analysis to determine third inconsistencies in the healthcare information, calculates parameters for a healthcare fraud detection system based on the geographic density, the anomalous distributions, the empirical estimates, and the first, second, and third inconsistencies, and provides the parameters to the healthcare fraud detection system. | 05-29-2014 |
20140149129 | HEALTHCARE FRAUD DETECTION USING LANGUAGE MODELING AND CO-MORBIDITY ANALYSIS - A system receives healthcare information, and utilizes a language model to create, based on the healthcare information, a flow of procedures as a conditional probability distribution. The system predicts most likely procedures based on the flow of procedures, estimates a standard of care based on the conditional probability distribution, and calculates a probability of a sequence of procedures based on the flow of procedures. The system determines inconsistencies in the healthcare information based on the most likely next procedures, the standard of care, and the probability of the sequence of procedures. The system generates parameters for a healthcare fraud detection system based on the inconsistencies, and provides the parameters to the healthcare fraud detection system. | 05-29-2014 |
20140149130 | HEALTHCARE FRAUD DETECTION BASED ON STATISTICS, LEARNING, AND PARAMETERS - A system receives healthcare information, and calculates a geographic density of healthcare fraud based on the healthcare information. The system derives empirical estimates of procedure and treatment durations based on the healthcare information, and utilizes classifiers to determine inconsistencies in the healthcare information. The system calculates parameters for a healthcare fraud detection system based on the geographic density, the empirical estimates, and the inconsistencies, and provides the parameters to the healthcare fraud detection system. | 05-29-2014 |