Patent application number | Description | Published |
20080228696 | OPTIMIZATION OF ANALYTICAL EFFECTIVENESS IN AN ANALYST NETWORK - Optimization of analytical effectiveness of a plurality of analysts is achieved, in part, this through the routing of information elements (i.e., discrete quantities of content suitable for analysis by one or more analysts) to selected analysts in order to maximize achievement of analysis goals defined as part of an analysis plan. Within an analyst network, information elements are obtained by a routing controller from an information network. Based on the analysis goals provided to the routing controller, the routing controller selects specific analysts to receive the information elements. Various characteristics of individual or groups of analysts may be used to identify the selected analysts. In this manner, the present invention provides the ability to tailor the available analyst resources to best address the universe of available topics in the most efficient and productive manner. | 09-18-2008 |
20080228803 | MONITORING AND CONTROL OF ANALYTICAL EFFECTIVENESS IN AN ANALYST NETWORK - Monitoring and/or controlling analytical effectiveness of a plurality of analysts in an analyst network is provided. In one embodiment, information concerning treatment of information elements (i.e., discrete quantities of content suitable for analysis by one or more analysts) within an analyst network by the plurality of analysts is provided to a management terminal. Based on this treatment information, the management terminal determines information concerning achievement of analysis goals. In another embodiment, the management terminal receives modifications to the analysis goals that are used to provide modified analysis goals, which modified analysis goals are subsequently provided to the routing controller. In this manner, the present invention provides the ability to determine whether the available analyst resources are being used in the best manner to address the universe of available topics in the most efficient and productive manner. | 09-18-2008 |
20080228804 | PRESENTATION OF INFORMATION ELEMENTS IN AN ANALYST NETWORK - In an analyst network, at least representative data of information elements (i.e., discrete quantities of content suitable for analysis by one or more analysts), acquired by a routing controller, is provided to a workstation. Based on the representative data, displayed results are provided including information indicative of processing performed by at least a portion of a plurality of analysts using the analyst network. Indicia of treatment indicative of treatment statuses of individual information elements are preferably provided in the displayed data. Various occurrences may give rise to updated treatment statuses that cause the displayed data to be updated as well. In this manner, the present invention enables individual analysts to prioritize processing of information elements based on processing performed throughout the entire analyst network. | 09-18-2008 |
20090067586 | Remote media call center - The call center processing system disclosed enhances the capabilities of traditional call centers. In particular, the processing system allows a call center to receive, aggregate, and index many different types of media obtained from a wide variety of sources and that relate to many different types of incidents. Thus, for example, the processing system provides a third party with the option of submitting call phone camera pictures, audio input, video camera footage, and other types of media when reporting an incident to the call center. The call center may be an emergency number (e.g., 911) call center, a service center (e.g., for a home appliance), a news reporting call center, or any other type of interactive information exchange. | 03-12-2009 |
20100011008 | CUSTOMIZED MULTI-MEDIA SERVICES - Content files such as photographs, video, graphics and/or music are indexed to identify subjects captured in them. Indexed content files are scanned to identify content files that match certain criteria. Content files that satisfy the selection criteria are directed to appropriate output devices for display such that related files are presented in a fashion by which a theme or message is conveyed. | 01-14-2010 |
20100106453 | ACTION RECOGNITION AND INTERPRETATION USING A PRECISION POSITIONING SYSTEM - To facilitate the recognition and interpretation of actions undertaken within an environment, the environment is associated with a precision positioning system (PPS) and a controller in communication with the PPS. Within the environment, an entity moves about in furtherance of one or more tasks to be completed within the environment. The PPS determines position data corresponding to at least a portion of the entity, which position data is subsequently compared with at least one known action corresponding to a predetermined task within the environment. Using a state-based task model, recognized actions may be interpreted and used to initiate at least one system action based on the current state of the task model and correspondence of the position data to the at least one known action. In an embodiment, an entity recognition system provides an identity of the entity to determine whether the entity is authorized to perform an action. | 04-29-2010 |
20100153187 | DETERMINATION OF A PROFILE OF AN ENTITY BASED ON PRODUCT DESCRIPTIONS - Relative to a given product or products, one or more attributes and, for each attribute, a plurality of possible attribute values, are defined. For a given product and attribute, one or more descriptions of the product are obtained and analyzed to determine the correspondence of the description(s), and hence the product itself, to each of the plurality of possible attribute values. In one embodiment, this analysis is based on previously-labeled training data. A knowledge base can be populated with information identifying the products and their correspondence to the plurality of possible attribute values for each attribute. This technique may be used to develop a profile of an entity, which in turn may be used to develop appropriate marketing messages or recommendations for other products. | 06-17-2010 |
20100316212 | REMOTE MEDIA CALL CENTER - The call center processing system disclosed enhances the capabilities of traditional call centers. In particular, the processing system allows a call center to receive, aggregate, and index many different types of media obtained from a wide variety of sources and that relate to many different types of incidents. Thus, for example, the processing system provides a third party with the option of submitting call phone camera pictures, audio input, video camera footage, and other types of media when reporting an incident to the call center. The call center may be an emergency number (e.g., 911) call center, a service center (e.g., for a home appliance), a news reporting call center, or any other type of interactive information exchange. | 12-16-2010 |
20110011936 | DIGITAL POINT-OF-SALE ANALYZER - A digital point-of-sale system for determining key performance indicators (KPIs) at a point-of-sale includes a product identification unit and a realogram creation unit. The product identification unit is configured to receive a captured image of a product display and to identify products in the captured image by comparing features determined from the captured image to features determined from products templates. The realogram creation unit is configured to create a realogram from the identified products and product templates. A product price KPI unit is configured to identify a product label proximally located to each identified product, and to recognize the product price on each product label. Each product price is compared to a predetermined range of prices to determine whether the product label proximally located to the identified product is a correct product label for the identified product. | 01-20-2011 |
20110208569 | SYSTEM FOR INDIVIDUALIZED CUSTOMER INTERACTION - A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions). | 08-25-2011 |
20110246467 | EXTRACTION OF ATTRIBUTES AND VALUES FROM NATURAL LANGUAGE DOCUMENTS - One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm. | 10-06-2011 |
20120036100 | EXTRACTION OF ATTRIBUTES AND VALUES FROM NATURAL LANGUAGE DOCUMENTS - One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm. | 02-09-2012 |
20120123844 | SYSTEM FOR INDIVIDUALIZED CUSTOMER INTERACTION - A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions). | 05-17-2012 |
20120196626 | MOBILE VALET - A system provides location-based services through an enhanced mobile device. The system determines a current location of the mobile device, and determines whether the current location of the mobile device falls within one or more geographic regions defined in a database. If the current location falls within one or more of the geographic regions, the system identifies services available within the one or more geographic regions that the mobile device is determined to be within. The system generates a customized menu based on the identified services and displays the customized menu on the mobile device. | 08-02-2012 |
20120278117 | TASK MANAGEMENT FOR A PLURALITY OF TEAM MEMBERS - Each of a plurality of team members may define a task by providing data concerning a task to a centralized controller, wherein each task may be assigned any other team member of the plurality of team members. The controller may receive task event information from a first team member of the plurality of team members regarding a task, which task is associated within the controller with the first team member and a second team member. The controller subsequently sends updated task information, based on the task event information, to both the first team member and the second team member. Relevant to any given task, the task event information may comprise a task delegation indication, which may further comprise a non-delegation indication such that further delegation of the task in not permitted. | 11-01-2012 |
20130054502 | DETERMINATION OF DOCUMENT CREDIBILITY - A plurality of topics encompassed in a document are determined and, for each such topic, a sentiment for that topic is likewise determined. Thereafter, credibility of the document is determined based on the resulting plurality of sentiments. In one embodiment, credibility of at least one target document is established by first determining, for each of a plurality of portions of the at least one target document, at least one topic encompassed in the portion to provide a plurality of target topics. Likewise, sentiment scores are determined for each portion. Thereafter, for each prior topic of a plurality of prior topics, a topic-sentiment score is determined based on sentiment scores corresponding to those portions of the plurality of portions having a target topic corresponding to the prior topic. A credibility index is determined based on the resulting plurality of topic-sentiment scores. | 02-28-2013 |
20140108083 | TASK MANAGEMENT FOR A PLURALITY OF TEAM MEMBERS - Each of a plurality of team members may define a task by providing data concerning a task to a centralized controller, wherein each task may be assigned any other team member of the plurality of team members. The controller may receive task event information from a first team member of the plurality of team members regarding a task, which task is associated within the controller with the first team member and a second team member. The controller subsequently sends updated task information, based on the task event information, to both the first team member and the second team member. Relevant to any given task, the task event information may comprise a task delegation indication, which may further comprise a non-delegation indication such that further delegation of the task in not permitted. | 04-17-2014 |
20140114743 | System For Individualized Customer Interaction - A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment's operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions). | 04-24-2014 |
20140114898 | DETERMINATION OF DOCUMENT CREDIBILITY - A plurality of topics encompassed in a document are determined and, for each such topic, a sentiment for that topic is likewise determined. Thereafter, credibility of the document is determined based on the resulting plurality of sentiments. In one embodiment, credibility of at least one target document is established by first determining, for each of a plurality of portions of the at least one target document, at least one topic encompassed in the portion to provide a plurality of target topics. Likewise, sentiment scores are determined for each portion. Thereafter, for each prior topic of a plurality of prior topics, a topic-sentiment score is determined based on sentiment scores corresponding to those portions of the plurality of portions having a target topic corresponding to the prior topic. A credibility index is determined based on the resulting plurality of topic-sentiment scores. | 04-24-2014 |