Abstract: An approach is provided for grouping points-of-interest on a map. Information is aggregated about a plurality of points-of-interest. The plurality of points-of-interest are categorized into a first level grouping based on a first criterion and the aggregated information. The plurality of points-of-interest are categorized into a second level grouping based on a second criterion that is less restrictive than the first criterion and the aggregated information. The first level grouping is assigned to a first scale level of a map. The second level grouping is assigned to a second scale level of the map.

Abstract: A system and method for precaching information on a mobile device. A precaching strategy is built for a mobile device The strategy defines a forecast of data types a user is predicted to request after the occurrence of one or more data refresh conditions. The precaching strategy is built by recognizing data usage patterns in data requested by the user or a group of users over a time period. The data usage pattern comprises data types and events that are correlated to the usage of the data. The events are used to define at least one refresh condition within the precaching strategy. The precaching strategy is executed. When the occurrence of the data refresh condition is detected, data is then retrieved from a data source, wherein the data is retrieved according to the precaching strategy. The retrieved data is transmitted to a user device cache.

Abstract: A virtual network operating center (VNOC) automatically and in real time obtains and validates the configuration of a data communications network, such as a wavelength division multiplexed network. The VNOC acquires network configuration data using SNMP commands and server configuration information from the hardware management console. The VNOC collates this data and validates configuration requirements for working and backup fiber paths, client protocols, data rates, regeneration requirements, and other considerations. Both ends of a network can be automatically provisioned and commissioned from a single location wherein the ends may be separated by 100 kilometers or more.

Abstract: In exemplary embodiments, an apparatus and method for providing expert quality control on a consultation system is provided. Feedback is received for an expert. The feedback may be from users of the consultation system, other experts on the consultation system, or third-parties with relevant expertise and may comprise direct and indirect feedback. Adjustment factors are recorded for the expert. The adjustment factors comprise public and non-public actions associated with the expert. The expert is then evaluated using the feedback and the adjustment factors.

Abstract: A method and information processing system train a control system using structured differential learning. A set of features extracted from a set of input data is analyzed by a plurality of analyzing components. An output response is generated by each analyzing component in the plurality of analyzing components for each feature regarding whether the each feature has an acceptable value associated therewith relative to a value of the parameter associated with the each analyzing component. A confidence score is associated with the each output response. Each output response and each confidence score is combined into a single final output response and single final confidence score. An analyzing component is identified from the plurality of analyzing components that is a strongest candidate for generating an incorrect final output response based at least on the confidence score.

Abstract: The present invention is directed in general to imaging technologies, and more specifically to a diagrammatic reporting methodology. A system and method are provided for graphically presenting the content of radiological image study reports. Even further, a system and method are provided for presenting the content of structured radiological reports including multiple imaging studies and their corresponding findings in a symbolic color-coded graphical diagram. Further still, the present invention may utilize an ontology of radiological knowledge to interpret report content to generate the information to be diagrammatically displayed in a symbolic color-coded graphical diagram.

Abstract: A method of operating an entertainment system includes computer-implemented steps including accessing a remote electronic collection of audio/video recordings. The collection is associated with a user of the entertainment system. The recordings in the collection are analyzed to thereby determine an audio/video preference profile of the user. Electronic audio/video options of the entertainment system that conform to the user's preference profile are selected and offered to the user.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: The present invention is directed in general to a system and method that employs radiological domain ontology to specify and model radiological information as knowledge. A system and method are provided that allow for consulting the ontology in the context of the model that the ontology fulfills. The result of consulting the ontology is validated, identified and classified radiological information that is based on information provided in the consultation.

Abstract: Disclosed are methods and apparatus for providing a set of recommended annotations. A set of tags associated with a content item within a content sharing system is identified, where the content item is associated with a user of the content sharing system. A set of global tag co-occurrences within the content sharing system is identified for the set of tags, where each of the global tag co-occurrences in the set of global tag co-occurrences identifies a pair of tags including one of the set of tags, wherein the pair of tags have both been used together to tag at least one of the content items within the content sharing system. One or more sets of personal tag co-occurrences is identified for the set of tags, where each of the sets of personal tag co-occurrences is used in a corresponding one of one or more personal contexts of the content sharing system, the one or more personal contexts relating to the user of the content sharing system.

Abstract: The present invention is generally directed to a method programmed in a computing environment for providing prose text reporting, utilizing a prose text definition ontology comprising linguistic knowledge and a base report domain ontology. A system and method are provided to define various aspects of radiological report information processing as concept properties represented by a vocabulary of one or more instances of ontology concepts and presented in prose text. Even further, a system and method are provided for consulting a radiological prose text definition ontology wherein radiological domain concepts and relationships may be expressed or further utilized by other application programs. Users are able to quickly, accurately and consistently consult and report radiological observations in unambiguous prose text.

Abstract: Embodiments of methods, systems and/or apparatuses relating to data processing in distributed computing environments are disclosed. In particular, methods, systems, and/or apparatuses for determining information similarly and/or performing related statistical techniques which may be implemented or operated in a distributed computing environment are disclosed.

Abstract: Plural characteristics of text documents are extracted, where the plural characteristics include citations to or from other text documents and at least one other characteristic. At least one of the text documents is a patent. Each of the text documents is associated with a corresponding collection of the plural characteristics. An output is generated using the collections of the plural characteristics, where the output indicates relationships among at least a subset of the text documents including the patent based on the collections of the plural characteristics.

Abstract: Techniques for generating driving information based on one or more driver inputs are provided. The techniques include receiving information about one or more triggering factors from at least one of one or more internal entities and one or more external entities, using the information to generate a message about the one or more triggering factors, and sending the message to one or more additional drivers.

Abstract: The present invention discloses methods and systems for managing and maintaining identities over time within the practically anonymous Internet environment. Said system and methods provide protection by tracking identities of partners over time, within multiple relations and over-riding common practices for identity switching.

Abstract: One embodiment of the present invention provides a method for recommending activities to a user. During operation, the system determines an activity-type distribution based on the user's personal profile and/or population prior information, thereby facilitating prediction of future activities for the user. The system further searches for and receives one or more activities based on the activity-type distribution. The system then scores each received activity and recommends a number of activities to be performed by the user in the future and a number of corresponding venues, based on the activity-type distribution and the weight distribution.

Abstract: A process for selecting a surrogate part for metallic plating, the metallic plating of the surrogate part predicting results for the metallic plating of a new or predetermined part is disclosed. The process can include providing a reinforcement learning system having a memory circuitry and a processing circuitry. The memory circuitry can have a database with data associated with a plurality of surrogate parts and data associated with the predetermined part can be entered into the data input module. The processing circuitry can compare the data associated with each of the plurality of surrogate parts and the data associated with the predetermined part and select a surrogate part that affords predicting a plating result of the predetermined part.

Abstract: A service, which in one embodiment is a fashion social network, applies pre-defined criteria to items proposed for selection by a user, in order to determine if the proposed items are compatible with descriptive attributes and/or current possessions of the user.

Abstract: Bodies of media may be summarized in various ways depending on numerous factors, thus resulting in summaries that are tailored to particular desires of consumers. An instruction may be received to provide a summary of at least a portion of the body of media. Software stored in memory may then be executed by a processor to determine one or more factors for providing the summary. The summary may be selected, based on the one or more factors, from a plurality of available summaries stored in memory. The plurality of available summaries corresponds to the at least a portion of the body of media. Finally, the selected summary may be provided to a consumer via an output device.

Abstract: An apparatus for classifying an audio signal configured to: estimate at least one shaping parameter value for a plurality of samples of the audio signal; generate at least one audio signal classification value by mapping the at least one shaping parameter value to one of at least two interval estimates; and determine at least one audio signal classification decision based on the at least one audio signal classification value.

Abstract: Systems, methods and devices for modifying a patient adherence score which include, in one implementation, obtaining a patient profile in a patient population, the patient profile including multiple patient attributes and each patient attribute including a value; obtaining an adherence score for the patient profile for predicting patient adherence based on one or more of the multiple patient attributes wherein the adherence score indicates a likelihood of adherence of the patient to the prescribed treatment; and applying a modifier associated with an application to modify the adherence score obtained for the patient profile into a modified score for the application.

Abstract: An educational asset distribution system including an asset registration module which obtains information about a plurality of educational assets, said information including fixed metadata descriptive of an educational asset, and information for accessing the educational asset; a learning management system interface which receives context data descriptive of a user of a learning management system; a dynamic metadata storage which stores a portion of the context data in association with the fixed metadata; and an educational assets management module for managing the plurality of educational assets based on the context data, the information about the plurality of educational assets, and data stored in the dynamic metadata storage.

Abstract: Disclosed are an emotion model, and an apparatus and method for adaptively learning personality of the emotion model. The emotion model, which maintains personality information, creates emotion information according to the personality information and takes a predetermined behavior according to the emotion information. The personality information may change adaptively in correspondence to a user's response to the behavior performed by the emotion model. Accordingly, the emotion model may react adaptively to the user through interactions with the user.

Abstract: Particular embodiments use roles to determine anomalies in a user's behavior. Different roles may be defined for a business. For example, users that have similar job responsibilities are grouped in a role. Behavior information is then monitored for the plurality of users in the role. This may include transactions or other actions taken by the user. Over time, a profile can be generated for the user based on the monitored behavior. This profile learns the user's behavior. Information for the user's behavior may then be compared to other users' profiles in the same role to determine anomalies in the user's behavior over time. For example, when differences in activities occur for a user as compared to other users with the same role, a message may be generated that indicates that there may be an anomaly in the user's behavior. This alert may then be output.

Abstract: A system and method of detecting a flagged glucose concentration pattern with the use of medians having a common type of flag collected over discrete time periods so that whenever significant differences between the medians arise, the user or a caretaker of a diabetic user is notified.

Abstract: Embodiments treat cyclical behaviors based on behavioral data describing physiological factors affecting the behaviors. According to various embodiments, a processor or probe produce, from the behavioral data, factor data concerning the factors. Using a processor or recommendation engine that analyzes the factor data, treatment data is recommended based on an estimate of how the at least one factor affects the at least one cyclical behavior. A processor or feedback engine determines, from the treatment data, behavioral feedback configured to produce new behavioral data and to harness the effects of the factors to improve the cyclical behaviors.

Abstract: A system for generating a media playlist comprising a media management module operable to select a first media item from a plurality of media items stored in a media database for playback; and using raw user input data representing a measure of the popularity of the first media item, generate preference data representing a refined user preference for the first media item; wherein the preference data is used to determine a second media item from the plurality of media items for playback.

Abstract: An automatic designing system includes: a rule storage unit storing sets of rewrite rules for rewriting variable nodes of a hierarchically structured graph in a design architecture for the system; a search unit sequentially determining variable nodes as application targets for the rewrite rules by searching the graph, including components in the design architecture for the system to be designed, using a search tree; a judgment unit judging whether the rewrite rule is applicable to the determined variable node; and a rule application unit replacing the determined variable node with a partial graph, including at least one of fixed and variable nodes, according to the rewrite rule, in response to a judgment that the rewrite rule is applicable. The search unit performs the searching until an undefined variable node no longer exists in the graph to be designed, and performs backtracking on condition that no variable node is found.

Abstract: Techniques for identifying one or more inconsistencies between an unstructured document and a back-end fact-base are provided. The techniques include automatically parsing a query document and comparing the document with a back-end fact-base comprising facts relevant to the document, identifying one or more inconsistencies between information mentioned in the document and the facts stored in the back-end fact-base, and providing a response to the query document, wherein the response additionally includes the one or more identified inconsistencies.

Abstract: A computer system and associated method are provided for evaluating a sociocultural event associated with a target human subject. An analytical processing device analyzes a communication sample associated with the sociocultural event involving the target human subject to determine an apparent cultural data element, an apparent linguistic data element, a contextual data element, and/or a communicative data element associated with the communication sample. A correlative processing device correlates the contextual data element with a projected cultural data element and/or a projected linguistic data element expected of a corresponding hypothetical human subject. A comparative processing device compares the apparent cultural data element and/or the apparent linguistic data element with the corresponding projected linguistic data element and/or the projected cultural data element to determine whether the sociocultural event is consistent with the target human subject.

Abstract: A user intention recognition device and method are provided. The user intention recognition device may be used by a person who is not able to appropriately express their emotion and intention, such as a disabled person, a patient, and the like. The user intention recognition device may determine an emotion of the user based on the communication information of the user, and also, may determine an intention of the user based on the emotion and biometric information of the user. The user intention recognizing device may provide an appropriate output corresponding to the determined intention of the user.

Abstract: Embodiments of the invention provide the ability to determine whether a particular application may be safely added to a client computing device. Further, embodiments of the invention also allow for performing a rollback operation on clients experiencing a decrease of performance due to an addition of new software. For example, after a client updates to a new piece of software, a server may monitor the performance of the first client by analyzing a plurality of updates received from the first client. Each update may include a performance indicator. Using the updates, the server may detect a decrease in the performance of the first client. Upon detecting the decrease in the performance, the server may initiate a rollback to a previous state on the first client.

Abstract: A system uses elasticity modeling to enable cross category optimization of store display space for merchandise for any group of stores and items using point-of-sale data. A space elasticity curve is periodically created for each combination of performance metric, store cluster, planogram, and item segment, and is then scaled by individual store. A user can select any combination of stores and planograms, and the system then reconstructs the elasticity curves as individual “synthetic items,” which are averaged across the selected stores by creating average synthetic SKU records that reflect the estimated average store performance in each performance metric. The synthetic items are then used to either evaluate macro space performance across or within store areas, or to determine the best use of overall store display space available to permit management to optimally allocate display space for merchandise.

Abstract: A system and method for reviewing documents are provided. A collection of documents is portioned into sets of documents for review by a plurality of reviewers. For each set, documents in the set are displayed on a display device for review by a reviewer and temporarily organized through grouping and sorting. The reviewer's labels for the displayed documents are received. Based on the reviewer's labels, a class from a plurality of classes is assigned to each of the reviewed documents. A classifier model stored in computer memory is progressively trained, based on features extracted from the reviewed documents in the set and their assigned classes. Prior to review of all documents in the set, a calculated subset of documents for which the classifier model assigns a class different from the one assigned based on the reviewer's label is returned for a second review by a reviewer. Models generated from one or more other document sets can be used to assess the review of a first of the sets.

Abstract: A computer-implemented system may include determination of a similarity of a semantic projection of a set of interests of a first user to a semantic projection of a first resource, wherein the semantic projection of the set of interests of the first user and the semantic projection of the first resource conforms to a common semantic projection model. Also included may be determination of a semantic interest of the first user for the first resource in a first context based on the similarity of the semantic projection of the set of the interests of the first user to the semantic projection of the first resource, and determination of an interest measure associated with the first user, the first resource and the first context based on a rating prediction for the first user to the first resource in the first context and on the determined semantic interest of the first user for the first resource in the first context.

Abstract: One goal of computer services (e.g., email, web pages, blogs, advertisements, etc.) is to provide a user with Kinds (digital representations of everyday things) that may be relevant and interesting to the user. Users and Kinds may be plotted within a multidimensional matrix as feature vectors based upon their respective characteristics. An unsupervised clustering technique may be executed upon the matrix to create a mathematical cluster of feature vectors having similar characteristics. For example, a clothing cluster may comprise a dress Kind, a shoe Kind, a wool Kind, a watch Kind, etc. because the unsupervised clustering technique may determine these Kinds are plotted within the matrix in such a way that they have similar characteristics relating to clothing. The unsupervised clustering technique may also be utilized in determining which Kinds may be relevant to a user given a particular context with which a user is engaged with a computer resource.

Abstract: Methods for automatically identifying and classifying a crisis state occurring in a system having a plurality of computer resources. Signals are received from a device that collects the signals from each computer resource in the system. For each epoch, an epoch fingerprint is generated. Upon detecting a performance crisis within the system, a crisis fingerprint is generated consisting of at least one epoch fingerprint. The technology is able to identify that a performance crisis has previously occurred within the datacenter if a generated crisis fingerprint favorably matches any of the model crisis fingerprints stored in a database. The technology may also predict that a crisis is about to occur.

Abstract: A computer-implemented behavior monitoring method is provided. The method includes receiving from a plurality of contributors a plurality of personal value preference indications. Either or both of location information corresponding to a determined location of a user device and communication information corresponding to a determined communication activity of the user device are received. Either or both of the location information and the communication information of the user device are compared with the plurality of personal value preference indications from the plurality of contributors. A behavior rating is determined based on the comparison of the location information and the communication information of the user device with the plurality of personal value preference indications, and the behavior rating is transmitted to a user.

Abstract: The present disclosure generally provides systems and methods of determining technical data for wheels and wheel repairs. The system and method could include a graphical user interface (GUI) to input data associated with a wheel. The input data could include information associated with outer and inner radial thicknesses of the wheel, outer and inner lateral thicknesses of the bead, outer and inner diagonal thicknesses of the wheel, outer and inner surface run-out measurements of the wheel, other suitable information related to the wheel, other suitable information, or any combination thereof. The system could further include a network having a database to store the inputted data and having control data associated with wheels. The system could still further include a processor in communication with the database to correlate the input data with the control data and to determine the reparability of the used wheel.

Abstract: One embodiment provides a technique for analyzing a target electromagnetic signal radiating from a monitored system. During the technique, the monitored system is positioned at a first locus of an ellipsoidal surface to amplify the target electromagnetic signal received at a second locus of the ellipsoidal surface. Next, the amplified target electromagnetic signal is monitored using an antenna positioned at the second locus of the ellipsoidal surface. Finally, the integrity of the monitored system is assessed by analyzing the amplified target electromagnetic signal monitored by the antenna.

Abstract: A mixture of dyes each having an optical property (e.g. fluorescence intensity) which is sensitive to an external factor is caused to interact with a system that is to be monitored, such that the system provides the external factor and therefore influences the optical properties of the dyes. The optical properties of the individual dyes are individually measurable (e.g. being spectral intensities at different wavelengths). Their values are subjected to pattern analysis, e.g. using an artificial neural network analysis, leading to an output that characterises the system or its state.

Abstract: A method (system and computer program product) performs facet classification synthesis to relate concepts represented by concept definitions defined in accordance with a faceted data set comprising facets, facet attributes, and facet attributes hierarchies. Dimensional concept relationships are expressed between the concept definitions. Two concept definitions are determined to be related in a particular dimensional concept relationship by examining whether at least one of explicit relationships and implicit relationships exist in the faceted data set between the respective facet attributes of the two concept definitions.

Abstract: A system and method for application-level security is disclosed. Application-level security refers to detecting security threats from functional user behavior. Information about functional user behavior is transformed into a behavior session. The behavior session is transformed into a behavior pattern. The behavior pattern is correlated with evaluation patterns to detect potential security threats. Behavior patterns are collected over time to improve analysis.

Abstract: An abnormality detection apparatus for detecting abnormality of air conditioning in a room which accommodates a plurality of computers having an air inlet and having an outlet, includes, a plurality of temperature detectors for detecting temperatures at each of the air inlets, a memory for storing a plurality of reference patterns, each of the reference patterns representing a set of temperatures at each of the air inlets and corresponding to one of a plurality of abnormal categories, a determining unit for determining one of the abnormal categories by comparing the detected temperatures by the temperature detectors with the reference patterns stored in the memory, an output unit for outputting information corresponding to the category of the air condition abnormality determined.

Abstract: A program recommender (300) that receives one or more starring actor data fields for a program. The recommender adjusts one or more of the received starring actor data fields (600) by utilizing a source separate from the received starring actor data fields to identify one or more starring actors in the program. The adjusted data fields may be made available for use in creating a viewer profile (400), or alternatively may be made available for determining a recommendation (330) for the program.

Abstract: Systems and methods for automatically generating a return letter are disclosed. The system may include a computer usable medium in communication with a processor. The processor may determine whether a source document with contact information includes one or more fields requiring data. In response to the determining, a response document based on the required data may be automatically generated. A document identifier based on the contact information and the response document may be automatically generated. The response document may be transmitted to a recipient based on the contact information. In response to receiving response data from the recipient, the response data may be matched with the source document using the document identifier. The response data may be electronically merged with the source document to yield a merged document.

Abstract: A method and system for displaying footwear information. The method and system utilize a database on a computer readable medium, the database including a plurality of footwear representations including various measurement parameters. A user inputs a selection of a reference footwear model. A footwear representation of the reference footwear model is loaded from the database along with footwear representations for a plurality of additional models of footwear. The footwear representation for the reference footwear model and the footwear representations for the additional models of footwear are compared to identify at least one of the additional models of footwear having similar measurement parameters as the reference footwear model. Additional models identified are presented to the user as a recommendation.

Abstract: Methods, systems, and products are disclosed for detecting and/or predicting maladies in humans and animals. Electronic copies of second order output are collected and compared to a symptoms database storing data ranges describing symptoms. When the second order output lies outside a data range, a symptom associated with the data range is retrieved. The onset of a malady associated with the symptom is then predicted.

Abstract: A system and method is disclosed for predicting a fall of a robot having at least two legs. A learned representation, such as a decision list, generated by a supervised learning algorithm is received. This learned representation may have been generated based on trajectories of a simulated robot when various forces are applied to the simulated robot. The learned representation takes as inputs a plurality of features of the robot and outputs a classification indicating whether the current state of the robot is balanced or falling. A plurality of features of the current state of the robot, such as the height of the center of mass of the robot, are determined based on current values of a joint angle or joint velocity of the robot. The current state of the robot is classified as being either balanced or falling by evaluating the learned representation with the plurality of features of the current state of the robot.

Abstract: A compressor is provided and may include a shell, a compression mechanism, a motor, and a diagnostic system that determines a system condition. The diagnostic system may include a processor and a memory and may predict a severity level of the system condition based on at least one of a sequence of historical-fault events and a combination of the types of the historical-fault events.