4040results about "Electric/magnetic computing" patented technology

Methods and apparatus consistent with the invention provide the ability to organize and build understandings of machine data generated by a variety of information-processing environments. Machine data is a product of information-processing systems (e.g., activity logs, configuration files, messages, database records) and represents the evidence of particular events that have taken place and been recorded in raw data format. In one embodiment, machine data is turned into a machine data web by organizing machine data into events and then linking events together.

The present invention relates to a system and method for problem solving using intelligent agents. The intelligent agents may be embodied as processor-readable software code stored on a processor-readable medium. The intelligent agents may include a brain agent to parse the input and direct the parsed input query to other intelligent agents within the system. The apparatus and method may use, for example, a personality agent, a language agent, a knowledge agent, a mood agent, a visual agent, sound agent, a tactile agent, and a smell / taste agent and various connectors to external data sources or other intelligent systems to interpret questions and provide responses back to the user. The apparatus and method may further parse questions in a conceptual manner. The apparatus and method may further optimize its system performance by evolving with and reacting to specific user interactions. Thus, the present invention may be configured to receive a human question and to output a human answer.

A number of sets of methods and apparatuses applicable to online shopping are disclosed. One set, “Bin Packing Methods with Approximate Membership”, includes methods in pricing and auctioning a bundle of items, some of which could belong to another bundle. Significantly, the membership of a bundle, during pricing and auction, could change. Another set, the “Shopping Console”, puts a structure into the online shopping experience, so that through one interface various shopping activities can be facilitated, including but not limited to researching, pricing, negotiation, group buying, and tracking of purchases. Still another set, “Flash Mob Shopping”, allows sellers and a (spontaneous) group of shoppers to connect on prices without requiring shoppers' hard commitments, and with sellers revealing only necessary price information.

A system and method for generating context vectors for use in storage and retrieval of documents and other information items. Context vectors represent conceptual relationships among information items by quantitative means. A neural network operates on a training corpus of records to develop relationship-based context vectors based on word proximity and co-importance using a technique of “windowed co-occurrence”. Relationships among context vectors are deterministic, so that a context vector set has one logical solution, although it may have a plurality of physical solutions. No human knowledge, thesaurus, synonym list, knowledge base, or conceptual hierarchy, is required. Summary vectors of records may be clustered to reduce searching time, by forming a tree of clustered nodes. Once the context vectors are determined, records may be retrieved using a query interface that allows a user to specify content terms, Boolean terms, and / or document feedback. The present invention further facilitates visualization of textual information by translating context vectors into visual and graphical representations. Thus, a user can explore visual representations of meaning, and can apply human visual pattern recognition skills to document searches.

A system and method for protecting user privacy using social inference protection techniques is provided. The system executes a plurality of software modules which model of background knowledge associated with one or more users of the mobile computing devices; estimate information entropy of a user attribute which could include identity, location, profile information, etc.; utilize the information entropy models to predict the social inference risk; and minimize privacy risks by taking a protective action after detecting a high risk.

A method and system for unused ticket management, that identifying travel data related to one of future or past travel data for one or more travelers; identifying one or more unused travel purchase; generating a value for the unused travel purchase, the value corresponding to the one or more travelers, the respective values based at least in part on the travel data of the one or more travelers; and presenting to at least one of the one or more travelers, one or more options of unused travel purchases and the respective generated values.