Atigeo Corporation

Michael Sandoval

Oliver B Downs

Sopurkh Singh Khalsa

Claudiu Alin Branzan

Vlad Mircea Iovanov

Radu Ioan Bisca

Catalin Teodor Milos

David Bradley Boardman

Joseph Jonas

Techniques are described for determining and using information related to domains of interest, such as by automatically analyzing documents and other information related to a domain in order to automatically determine relationships between particular terms within the domain. Such automatically determined information may then be used to assist users in obtaining information from the domain that is of interest (e.g., documents with contents that are relevant to user-specified terms and/or to other terms that are determined to be sufficiently related to the user-specified terms). For example, recommendations may be automatically generated for a user by using information about specified preferences or other interests of the user with respect to one or more terms and identifying other particular terms that are sufficiently probable to be of interest to that user, such as based on a generated probabilistic representation of relationships between particular terms for the domain.

Providing recommendations using information determined for domains of interest

Security and distributed storage is described for systems using electronic profile information. Embodiments may be utilized for ID, data, and access analysis. Dynamic distributed redundant encryption may be used that may be based on user, device, location, context information, physical, or environmental characteristics. In one implementation, encrypted electronic profiles are stored on behalf of users by a profiling system, allowing user information within the electronic profiles to be accessed only by decryption of a portion of the electronic profile by the profiling system using distributed decryption codes.

Systems, methods, and computer readable media for security in profile utilizing systems

Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.

Determining relevant information for domains of interest

Embodiments of the present invention provide platforms for data aggregation, communication, rule evaluation, and combinations thereof. The platform may include three distinct functional layers; a core layer, an adaptive layer and an intelligence layer. Furthermore, the platform may include a data block, messaging block, rule block, or combinations thereof. Generally, the platform may facilitate data acquisition, storage, and manipulation between and among clients and data sources in a generic manner. That is, clients may communicate and make requests independent of a target system or database type. The platform may process the communications and requests in a manner suitable to the target system or database type. The platform may also evaluate rules received from the clients in a manner generic to the client application. Instances of the platform for a given application may be efficiently created using a template-based mechanism. In this manner, the platform may be used to support a variety of end user applications in a flexible, scalable manner.

Platform for data aggregation, communication, rule evaluation, and combinations thereof, using templated auto-generation

Examples of the present invention include profiling systems that store, manage, and utilize profile information to take predictive or deterministic action. Embodiments of the invention allow the profiling system to be used as a trusted intermediary where the profile owning entity controls access to their profile information across their network of devices and services.

Growing community of inventors

Kirkland, WA, United States of America

Michael Sandoval