Abstract: Techniques for predicting a user response to content are described. According to various embodiments, a configuration file is accessed, where the configuration file includes a user-specification of raw data accessible via external data sources and raw data encoding rules. In some embodiments, the raw data includes raw member data associated with a particular member and raw content data associated with a particular content item. Thereafter, source modules encode the raw data from the external data sources into feature vectors, based on the raw data encoding rules. An assembler module assembles one or more of the feature vectors into an assembled feature vector, based on user-specified assembly rules included in the configuration file. A prediction module performs a prediction modeling process based on the assembled feature vector and a prediction model, to predict a likelihood of the particular member performing a particular user action on the particular content item.

Abstract: A method delivers information to satisfy current needs of a driver of a vehicle, by first acquiring data related to a current state of the vehicle. The current state and a predictive model are passed to a predictive procedure to determine choice probabilities for nodes in a choice tree (CT). Based on the choice probabilities, information related to the current needs to the driver are selected from a database storing commercial and non-commercial information. Then, the information is delivered to the driver, wherein the delivering is autonomous of the driver.

Abstract: The system has number of environmental sensors to sense various environmental parameters of the personal environment envelope surrounding the individual and multiple biological sensors to sense biological and physiological condition of the individual. The system includes a personal environment envelop setting module to define preferred settings based on input from the individual. The system has a processing module to process the environmental parameters sensed by the sensors and the preferred settings to generate alerts. The processing module, also receives information from other sources and is capable of dynamically compute recommendations, map these with the preferences of the individual for enabling the preferred conditions.

Abstract: A method for providing text to speech from digital content in an electronic device is described. Digital content including a plurality of words and a pronunciation database is received. Pronunciation instructions are determined for the word using the digital content. Audio or speech is played for the word using the pronunciation instructions. As a result, the method provides text to speech on the electronic device based on the digital content.

Abstract: Customer journey prediction and resolution is accomplished via a predictive model in which each user is mapped onto all available user journey information corresponding to a specific business. The predictive model is analyzed to understand the characteristics, preferences, and lowest effort resolution for the user related to the services that are subscribed to by the user. The predictive model is analyzed to predict the service or collection of services for each user. Embodiments interact with, provide and receive information from, and react to and/or deliver action to the customer across channels and across services. All customer and system behavior, data, and action is tracked and coordinated and leveraged for continuous feedback and performance improvement.

Abstract: Disclosed is a computer-implemented method of generating a plurality of selectable design experiments in a design of experiments (DOE) process for analyzing at least one data set from a process to determine a relationship of a plurality of process factors of interest to a process output of interest. The method entails receiving as user input into a computing apparatus, a base number of trials and a number of center point trials. From the computing apparatus, a graphical user interface is generated on a display connected with the computing apparatus. This includes presenting a display containing a plurality of experiment each defined, at least partially, by a combination of number of replicates (replicates count) and effect size. The display further includes a predicted power value for each combination of replicates count and effect size.

Abstract: Embodiments are directed towards managing and tracking item identification of a plurality of items to determine if an item is a new or existing item, where an existing item has been previously processed. In some embodiments, two or more item identifiers may be generated. In one embodiment, generating the two or more item identifiers may include analyzing the item using a small item size characteristic, a compressed item, or for an identifier collision. The two or more item identifiers may be employed to determine if the item is a new or existing item. In one embodiment, the two or more item identifiers may be compared to a record about an existing item to determine if the item is a new or existing item. If the item is an existing item, then the item may be further processed to determine if the existing item has actually changed.

Abstract: A virtual assistant platform (“VAP”) provides a self-supporting and expandable architectural framework for virtual assistants (“VAs”) to communicate with a user via an electronic device. VAs may communicate with other devices, software programs, and other VAs. VAs may include intelligent agents configured to perform particular tasks. The VAP may include an execution environment that provides an interface between the VA and the electronic device and a framework of services for the intelligent agents. A VA may participate in or coordinate a group of VAs in which knowledge and tasks can be shared and cooperatively executed. The execution environment may include an agent store for registering agents for use on the VAP, storing agent code and data, and distributing agents to requesting users. Through the agent store, new VAs and agents may be distributed to users to expand their use of the VAP.

Abstract: An approach is provided to use natural language processing (NLP) to analyze data logs. In the approach, a data log is analyzed with the data log including a number of entries. The analysis performed includes performance of a sentiment analysis of the entries using natural language processing. The result of the sentiment analysis results is a sentiment score. Entries from the data log are then visually highlighted based on their corresponding sentiment scores.

Abstract: A system and method for a revolutionary development platform and management system using intelligent control rooms, hereafter referred to “the system”, that implements a generic intelligent control room concept in any information system using a groundbreaking framework for the design, build, control and operation of an enterprise's management data and human reporting. It provides both operational knowledge and quality assurance by pragmatically defining the gathering and flow of information in one or all organization units and allows for seamless knowledge dissemination into and within the organization. To meet the mantra of no programming required all new object domains and expert subject rules are added via the base code and database design functionality without requiring any additional programming.

Abstract: An apparatus for determining a future outage window in which to perform work on a server may include an input for receiving historical performance data about at least one server, a non-transitory memory and a processor communicatively coupled to the input and the memory. The processor may be configured to use instructions stored in the memory to predict one or more likely future time windows to be recommended as possible outage windows in which to perform work on the server. The processor may analyze historical performance data about the at least one server to determine one or more historical time windows corresponding to low CPU utilization of the at least one server. In some cases, the processor may then predict one or more future time windows to be recommended for use as the outage window using, at least in part, the determined historical time windows.

Abstract: The present invention generally relates to systems and methods for checking the conformance of a process behavior against a theoretical process model, and for further providing a detailed diagnostic regarding the process behavior's expectedness and frequency. The provision of this detailed diagnostic includes discovering the empirical models generated by the system's business processes, and matching the defined process model to its corresponding empirical model.

Abstract: A health and fitness management system is provided that has a health and fitness application operating, e.g., on a smart phone, that can wirelessly communicate with an activity module worn on the user which has a motion sensor, e.g., an accelerometer. The application accepts food and weight inputs (e.g., from the smart phone) and user activity units (e.g., from the activity unit) and develops a user intrinsic metabolism. The application includes fitness arc and health quotient graphical indicators that guide the user on health and fitness activities.

Abstract: An information processing apparatus includes a display control unit adapted to, with respect to each of a plurality of predetermined attributes, display on a display unit, for each of a plurality of inference conditions, inference results obtained by inferring a probability that input data belongs to the attribute under the inference condition; and a receiving unit adapted to receive selection of one of a plurality of parameters for specifying an inference condition from a user, wherein the display control unit highlights, with respect to each of the plurality of inference conditions, the inference results according to values of the selected parameter of the inference condition.

Abstract: A system and method for detecting a target area of user interest within a multimedia content element are provided. The method includes receiving the multimedia content element from a user computing device; partitioning the multimedia content element into a number of partitions, each partition having at least one object therein; generating at least one signature for each partition of the multimedia content element, wherein each of the at least one signatures for each partition represents a concept; determining a context of the multimedia content element based on the concepts; and identifying at least one partition of the multimedia content as a target area of user interest based on the context of the multimedia content element.

Abstract: A system for emulating a subject, to allow a user to interact with a computer generated talking head with the subject's face and voice; said system comprising a processor, a user interface and a personality storage section, the user interface being configured to emulate the subject, by displaying a talking head which comprises the subject's face and output speech from the mouth of the face with the subject's voice, the user interface further comprising a receiver for receiving a query from the user, the emulated subject being configured to respond to the query received from the user, the processor comprising a dialogue section and a talking head generation section, wherein said dialogue section is configured to generate a response to a query inputted by a user from the user interface and generate a response to be outputted by the talking head, the response being generated by retrieving information from said personality storage section, said personality storage section comprising content created by or about

Abstract: A method, machine readable storage medium, and system for providing personalized semantic controls for semantic systems. A semantic network may be set up with initial configuration. A business application user interface, including semantic controls, may be coupled to the semantic network to interact with the semantic network. Semantic objects and relations may be defined in the semantic network for business terminology. A user request for business data may be received. The semantic network may update the objects and relations for business terminology based on the request. The business application user interface may provide for personalized semantic controls based on the updated objects and relations.

Abstract: A method and a device for rapidly editing sending content based on a receiver. A sending-content-learning module is used to learn sending content to generate a content fragment for a receiver, and perform word frequency statistics on the content fragment; a corresponding list is generated from receiver information, the content fragment, and the word frequency statistics, and is stored; for the receiver and the word frequency statistics, the content fragment is displayed for a sender to edit the sending content, so as to send the sending content to a corresponding receiver. When a user edits a short message or an email, a content fragment commonly used for a corresponding receiver is displayed in a display box, and a sender can rapidly complete editing by selecting a required content fragment, thereby facilitating fast and convenient input and improving the user experience.

Abstract: A user may create an avatar and/or animated sequence illustrating a particular object or living being performing a certain activity, using images of portions of the object or living being extracted from a still image or set of still images of the object or living being. The resulting avatar and/or associated animated sequence may be created to include recognizable facial or other features of the individual(s)/objects, and may, for example, be suitable for exchange over the Internet, or as part of a game or other activity.

Abstract: A user interface evolves based on learned idiosyncrasies and collected data of a user. Learned idiosyncrasies and collected data of the user can be stored in a knowledge base. Information from the surrounding environment of the user can be obtained during learning of idiosyncrasies or collection of data. Thought-based statements can be generated based at least in part on the knowledge base and the information from the environment surrounding the user during learning of idiosyncrasies or collection of data. The thought-based statements serve to invoke or respond to subsequent actions of the user. The user interface can be presented so as to allow for interaction with the user based at least in part on the thought-based statements. Furthermore, personality nuances of the user interface can be developed that affect the interaction between the user and the user interface.

Abstract: Automatic recognition and presentation of insights of data is provided through analysis of overall data to infer locations of a user's data. Statistical, heuristic, and comparable analysis on the user's data sets is used to determine insights such as trends, correlations, outliers, comparisons, and patterns. The insights are then presented to the user through automatically optimized visualizations (highlighting determined insights), emphasis on presented raw data, data formatting suggestions, and similar ones with the capability to explore further.

Abstract: Mechanisms for clarifying an input question are provided. A question is received for generation of an answer. A set of candidate answers is generated based on an analysis of a corpus of information. Each candidate answer has an evidence passage supporting the candidate answer. Based on the set of candidate answers, a determination is made as to whether clarification of the question is required. In response to a determination that clarification of the question is required, a request is sent for user input to clarify the question. User input is received from the computing device in response to the request and at least one candidate answer in the set of candidate answers is selected as an answer for the question based on the user input.

Abstract: The present invention relates to systems and methods for automated troubleshooting. User identification is recorded, and the problem to be solved is determined. A series of decision trees are used to guide the user through troubleshooting. If the problem is resolved at any point, the event is logged as successful. This logging includes a listing of the steps taken by the user. The log may be employed to tune the decision tree for more optimal performance in the future. If no successful solutions are achieved, then the session may be forwarded to a human representative for resolution. Part of this forwarding includes classifying the event by at least one failure code. The failure code reflects the steps taken while guiding the user.

Abstract: An avatar having artificial intelligence for identifying and providing relationship or wellbeing recommendations is provided. The avatar acts as an electronic representation of a user. The avatar searches available information and makes recommendations to the user based on information received from the user or other sources regarding the user's relationship with another person or the user's wellbeing. In this way, the avatar continually learns more about the user to improve future recommendations to enhance the user's wellbeing and relationship with the other person.

Abstract: There is provided an information processing apparatus including a processor which executes a function of acquiring activity information indicating at least an activity of a subject, the activity information being inputted by an inputter, a function of generating support information supporting the activity of the subject on the basis of the activity information, and a function of controlling an output of the support information to the inputter or an observer who is different from the subject and the inputter on the basis of the support information or the activity information.

Abstract: A system and method for artificial neural network processing includes, for example, modifying, by a computer processor, a value of a charge of a node of an artificial neural depending on a number of elapsed steps since a prior predefined significant event. A system and method includes, for example, providing by a processor a real-time representation of an artificial neural network and of graphical effects of a running of the neural network. A system and method includes, for example, automatically modifying the behavior of network nodes based on simultaneous occurrences of events.

Abstract: An operating sequence for a handheld computing device manages the device to automatically detect cues describing the device's environmental and user actions performed with the device, learn which cues and cue combinations are relevant to predict user actions, and then in response to occurrence of the relevant cues, predictively implementing the appropriate user action or configuring the device in anticipation of user action.

Abstract: A system for providing semantic reasoning includes an extended semantic model, a semantic knowledge database, and an inference engine. The extended semantic model includes existing concepts for a specific knowledge domain, existing relationships among the existing concepts, and logic including conditions and processes that cause a new concept or a new relationship to be inferred from an existing concept or an existing relationship, respectively. The semantic knowledge database includes existing nodes and existing links and the existing nodes represent instances of the existing concepts, and the existing links represent instances of the existing relationships. The inference engine is configured to add new nodes and new links to the semantic knowledge database by following the logic of the extended semantic model.

Abstract: A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization.

Abstract: In a general aspect, a computer-readable storage medium can be configured to store instructions that when executed cause a processor to perform a process. The instructions can include instructions to detect a gesture defined by an interaction of a user with a surface of a computing device, and initiate a wireless operation associated with a wireless module of the computing device when a representation of the gesture matches a gesture signature stored in a gesture database.

Abstract: A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization.

Abstract: A technique and associated mechanism that guides the user through a set of questions relating to operation rules used in the design of Service Oriented Architecture Systems (SOAs). The questions are related to key aspects of a solution—security, maintenance frequency, usage demand/performance and complexity. Preferably, the questions are yes-or-no questions. Based on the answers provided, an appropriate path will be selected categorize into an appropriate category. The category of the rule will require, or at least suggest, the SOA component into which the rule will be implemented when it is implemented by the SOA designer. the technique is technology specific agnostic and helps in selecting an appropriate tool/platform in a standard and consistent manner.

Abstract: A system and associated methods for creating and implementing an artificially intelligent agent or system are disclosed. In at least one embodiment, a target personality is implemented in memory on an at least one computing device and configured for responding to an at least one conversational input received from an at least one communicating entity. An at least one conversational personality is configured for conversing with the target personality as needed in order to provide the target personality with appropriate knowledge and responses. For each conversational input received by the target personality, it is first processed to derive an at least one core meaning associated therewith. An appropriate raw response is determined then formatted before being transmitted to the communicating entity. Thus, the target personality is capable of carrying on a conversation, even if some responses provided by the target personality are obtained from the at least one conversational personality.

Abstract: A method, system and program product comprise monitoring inputs, into a system, for detected actions from a user. At least one detected action is identified. At least a first database storage location associated with the user is accessed. The first database storage location is at least configured for storage of emotional profiles of the user. At least a second storage location associated with the system is accessed. The second storage location is at least configured for storage of emotional profiles of the system. The at least one detected action is processed in a computational machine using data from the first storage location to determine a status of the user. A response to the status of the user is calculated. The response is at least in part determined by the status of the user and data contained in the second storage location.

Abstract: Systems and methods are provided relating to predictive analysis, and more specifically to predictive analysis of one or more data types in a data center environment. The data center environment itself includes a power manager in communication with at least one cabinet power distribution unit (CDU) that is in power-supplying communication with at least one electronic appliance in an electronic equipment rack. The predictive analysis approach estimates the rate of change over a future interval of time for at least one data type based on said historical data and predicts when said at least one data type will reach an associated user-defined threshold based on said rate of change. Results can be displayed graphically on an application program associated with the power manager.

Abstract: A method and associated systems for automating natural-language interactions between an expert system and a user. Characteristics of and relationships among elements of a set of business processes are captured, organized into a data structure, and stored as a set of business process models. The format, contents, and organization of these models are chosen to facilitate translating characteristics of the business processes into a format that may be stored in a knowledgebase of an expert system. The structured business-process models are then translated into a component of a knowledgebase from which an expert system may infer rules that guide its natural-language user interactions that relate to the business processes. In some embodiments, a similar method may be used to automatically translate business-process metadata, such as concept classes and process classes, into a similar knowledgebase-compatible format.

Abstract: According to one embodiment, a service control apparatus includes an acquisition unit, an estimator, and a generator. The acquisition unit acquires a user request. Intention knowledge items associate user requests with user intentions behind the user requests. The estimator estimates user an intention corresponding to the user request with reference to the intention knowledge items. Service control knowledge items define methods of generating service control conditions for operating the service. The methods correspond to the user intentions. The generator generates one of the service control conditions corresponding to the user request and the user intention, with reference to the service control knowledge items.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: A dynamically evolving cognitive architecture system based on prompting for additional user input is described. A system forms an intent based on a user input, and creates a plan based on the intent. The plan includes a first action object that transforms a first concept object associated with the intent into a second concept object and also includes a second action object that transforms the second concept object into a third concept object associated with a goal of the intent. The first action object and the second action object are selected from multiple action objects. The system executes the plan, and outputs a value associated with the third concept object.

Abstract: A system, computer-readable storage medium storing at least one program, and a computer-implemented method for determining a level of confidence that an identified media item is currently being presented to a user is presented. A media item being presented to a user on an output device coupled to the client device is identified, the client device including an input device usable by a user of the client device to instruct the client device to acquire and present media items from a plurality of media devices. A level of confidence that the identified media item is currently being presented to the user is calculated. A determination is made that at least one predetermined event has occurred. A level of confidence that the identified media item is currently being presented to the user is adjusted based on the at least one predetermined event.

Abstract: Systems and methods are disclosed herein for tuning an item classification. In one aspect, a method may include receiving, by a computing device, a classification request. The computing device may determine an item type of the item using a plurality of classifiers, and generate information of item type determination corresponding to the item. In response to a determination that a confidence score associated with the determined item type is less than a predetermined threshold, the computing device may provide the information of item type determination for analysis.

Abstract: An operating sequence for a handheld computing device manages the device to automatically detect cues describing the device's environmental and user actions performed with the device, learn which cues and cue combinations are relevant to predict user actions, and then in response to occurrence of the relevant cues, predictively implementing the appropriate user action or configuring the device in anticipation of user action.

Abstract: According to various embodiments, user performance and/or motivation for a computing system may be maximized by optimizing one or more target components of a user interface of the computing system. The target components may be aspects of the user interface that is perceived by the user. One or more input features and one or more output features may be identified, and data regarding these input and output features may be gathered. This data may be compared with the results generated by a set of candidate artificial intelligence algorithms to determine which of them provides the best fit with the data collected. Then, the selected artificial intelligence algorithm may be applied to the user interface to iteratively change the target components over time until the optimal settings for each user are discovered.

Abstract: One embodiment of the present invention provides a system for clustering heterogeneous events using user-provided constraints. During operation, the system estimates, based on a probabilistic model, a distribution of events across clusters such that each cluster includes a set of events. Next, the system estimates a probability distribution for an event property associated with each cluster. The system receives heterogeneous event data, and analyzes the heterogeneous event data to determine the probability distribution of event properties of clusters and to assign events to clusters. The system receives user input specifying the user-provided constraints for specializing the probabilistic model, and performs at least one of: re-computing the assignment of events to clusters, and re-determining the probability distribution of event properties of clusters based on the user input.

Abstract: A method (and structure) for implementing a software tool, as executable by a processor on a computer to exercise any of a plurality of prediction tools. Questions are provided to a user output port, and inputs from a user input port are received as responses to the questions. The question responses are used to instantiate, customize, and configure a specific one of said plurality of prediction tools for executing a specific application on the software tool.

Abstract: A system provides quantification and mapping of cultural characteristics. An analytic engine collects and organizes cultural attribute information by binary score and by cultural tendency. A cultural score engine coupled to the analytic engine receives cultural attribute information by category and scores the cultural attribute data for each cultural attribute to create scored data. A map engine receives the scored data and maps the cultural attribute data to a graphic output. An assessment engine quantifies areas, organization priorities, or cultural tendencies associated with each graphic output. A comparison engine compares a plurality of graphic outputs in a single comparison graphic output of cultural tendencies.

Abstract: In some embodiments, instead of relying only on information about the characters that are being entered to predict what data is intended to be entered into a user interface, information about the user interface itself may be used to help predict what data may be entered. For example, attributes that are associated with a text entry box can be used to provide more accurate predictions of what data a user intends to enter.

Abstract: A virtual assistant may communicate with a user in a conversational manner based on context. For instances, a virtual assistant may be presented to a user to enable a conversation between the virtual assistant and the user. A response to user input that is received during the conversation may be determined based on contextual values related to the conversation or system that implements the virtual assistant.

Abstract: Inference results for which each user does not have detailed knowledge are presented with priority. An information processing device 1 includes: an inference unit 104 that obtains inference results by applying inference rules to context information; an inference result index value calculation unit 105 that calculates, on the basis of a knowledge level of a reading user about each inference rule used in an inference process, index values that show depth of knowledge of the reading user about the inference results comprehensively; an inference result presentation unit 106 that presents the inference results on the basis of the index values; and an knowledge level update unit 109 that updates the knowledge level of the reading user about each inference rule used in the inference process on the basis of evaluation information acquired.