A system for reinforcement learning in a dynamic resource environment includes at least one memory and at least one processor configured to provide an electronic resource environment comprising: a matching engine and the resource generating agent configured for: obtaining from a historical data processing task database a plurality of historical data processing tasks, each historical data processing task including respective task resource requirement data; for a historical data processing task of the plurality of historical data processing tasks, generating layers of data processing tasks wherein a first layer data processing task has an incremental variant in its resource requirement data relative to resource requirement data for a second layer data processing task; and providing the layers of data processing tasks for matching by the machine engine.

A system for reinforcement learning in a dynamic resource environment includes at least one memory and at least one processor configured to provide an electronic resource environment comprising: a matching engine and the resource generating agent configured for: obtaining from a historical data processing task database a plurality of historical data processing tasks, each historical data processing task including respective task resource requirement data; for a historical data processing task of the plurality of historical data processing tasks, generating layers of data processing tasks wherein a first layer data processing task has an incremental variant in its resource requirement data relative to resource requirement data for a second layer data processing task; and providing the layers of data processing tasks for matching by the machine engine.

Examples described herein include systems, methods, instructions, and other implementations for data security with integrated installment payment systems. In one example, account security system receives a checkout communication that includes data describing a validated checkout system of a merchant system. A client token is transmitted in response to an authentication that the checkout communication is from the validated checkout system, and an account communication including the client token and secure client information is received from a client device. An installment payment communication associated with the secure transaction is received from a system other than a merchant system involved in the transaction. The secure transaction is then facilitated following receipt of the installment payment communication.

In an illustrative embodiment, an automated system links data files associated with loan submissions that have different identification attributes. The system may include computing systems and devices for receiving requests from a number of remote computing systems to identify loan products associated with a data file. The system can generate a matching input matrix comparing identification attributes from a first data file to identification attributes of candidate data files. The system can apply attribute matching rules to the matching input matrix to identify other data files that correspond to the same loan product as the first data file despite the data files having different identification attributes. The system can link data files corresponding to the same loan product within a data repository with a product linking key and output the linking key or other data for the loan product to a receiving computing system.

Generating a storage interface includes receiving a request for documents, detecting an accounting workflow type corresponding to request, and identifying a document organizational structure matching the accounting workflow type. Further, a virtual storage interface is built using an index on the documents and according to the document organizational structure, and presented.

A method can include obtaining a physical commodity that is divided into one or more physical units. The method can further include storing the physical commodity in a secure vault. Additionally, a map can be utilized to subdivide each of the one or more physical units into a plurality of segments. Each of the plurality of segments can be tangible portions of the physical unit that are distinct and identifiable. Subdividing each of the one or more physical units can render the physical units unaltered. Further, the map can be utilized to assign ownership of the plurality of segments to one or more owner users. The method can additionally include receiving an instruction to transfer ownership of a particular segment of the plurality of segments from a particular owner user to a buying user, and assigning in the map ownership of the particular segment to the buying user.

A back-end application computer server may receive a request along with a descriptive term. A look-up process may be performed based on the descriptive term (and hidden terms) may establish a set of potential pre-determined descriptions. The user may select one of the potential descriptions, and a user identifier may be associated with the request. A series of dynamic information exchanges may then help assign a category to the user identifier. A partial set of initial request details may be received from a third-party device and the user may adjust and/or add details to create a complete set. A potential value may then be calculated for the request. An indication of the potential value may be transmitted to the user, and information about the user identifier may be transmitted to a user response terminal to facilitate communication between the user response terminal and the user.

A time-series feature extraction apparatus has a coefficient outputter to output a coefficient to be used in calculation for classifying time series data into a plurality of segments, a segment position outputter to perform calculation for classifying the time series data into the plurality of segments based on the coefficient to output information on boundary positions of the plurality of segments, a cluster classifier to classify the plurality of segments into a certain number of plurality of clusters equal to or smaller than a certain number of the plurality of segments, a representative element outputter to output a representative element which represents a local feature of each of the plurality of clusters and is set for each of the plurality of segments, a feature degree calculator to calculate a feature degree of the representative element, and a representative element updater to update the representative element based on the feature degree.

The system may perform a method for controlling access to a secure data object. The secure data object may be a tax return. The method may implement a distributed ledger and tokens. A tax preparer or an owner of a tax return may put the tax return into a distributed ledger and securely associate the tax return with a token. By sharing the token with authorized third parties, the tax preparer or owner of the tax return may allow others to access the tax return. By retrieving the tax return from the distributed ledger with the token, rather than receiving the tax return directly from an owner of the tax return, the authorized third parties may be assured of the authenticity of the tax return that they are accessing with the token.

A system and method for facilitating electronic commerce over a network, according to one or more embodiments, includes communicating with a user via a user device and an issuer of payment media via an issuer device over the network, the payment media being issued to the user by the issuer, receiving user instruction over the network to link the payment media to a user account related to the user, prompting the user over the network to input a secure password known only by the issuer and the user, receiving the secure password from the user over the network, verifying that the payment media is owned by the user over the network via a secure protocol, returning a response to the user related to verification of the payment media, and storing payment media verification information.