Abstract: The Computationally Efficient Transfer Processing, Auditing, and Search Apparatuses, Methods and Systems (“SOCOACT”) transforms smart contract request, crypto currency deposit request, crypto collateral deposit request, crypto currency transfer request, crypto collateral transfer request inputs via SOCOACT components into transaction confirmation outputs. Also, SOCOACT transforms transaction record inputs via SOCOACT components into matrix and list tuple outputs for computationally efficient auditing. A blockchain transaction data auditing apparatus comprises a blockchain recordation component, a matrix Conversion component, and a bloom filter component.

Abstract: The Computationally Efficient Transfer Processing, Auditing, and Search Apparatuses, Methods and Systems (“SOCOACT”) transforms smart contract request, crypto currency deposit request, crypto collateral deposit request, crypto currency transfer request, crypto collateral transfer request inputs via SOCOACT components into transaction confirmation outputs. Also, SOCOACT transforms transaction record inputs via SOCOACT components into matrix and list tuple outputs for computationally efficient auditing. A blockchain transaction data auditing apparatus comprises a blockchain recordation component, a matrix Conversion component, and a bloom filter component.

Abstract: The Social Aggregated Fractional Equity Transaction Partitioned Acquisition Apparatuses, Methods and Systems, (“SAFETPA”) transforms fractional equity ownership purchase request inputs via SAFETPA components into transaction confirmation outputs. A Fractional Order Generation component receives a purchase request for a fractional order of an equity via a data communication network interface from a client terminal of a client having a source of funds and having a public encryption key, determines a purchase price for the fractional order of the equity by retrieving a quote for a price of a share of the equity, confirms that the source of funds contains at least the purchase price; and generates a trade order for the share of the equity.

Abstract: Methods and apparatuses are described for conducting cross-blockchain currency transactions. A server receives, from a client device, a request for a conversion of an amount of a first currency to an amount of a second currency. The amount of the first currency is stored in an electronic wallet associated with a user of the client device. The server determines one or more sequences of currency transactions executable that achieves the conversion from the amount of the first currency to the amount of the second currency, the one or more sequences of currency transactions comprising converting between cryptocurrencies operating on different blockchains. The server identifies one of the one or more sequences of currency transactions associated with an optimal value. The server executes the identified sequence of currency transactions associated with the optimal value.

Abstract: Methods and apparatuses are described for efficient resource management using mobile devices and wearable devices. A server determines an event causing unavailability of a center in a distributed network. The server determines an expected demand for service from the distributed network during an upcoming time period and identifies a mobile device and a wearable device associated with each staff member assigned to work at one of the plurality of centers that is available. The server retrieves location data from the mobile device and biometric data from the wearable device. The server identifies staff members capable of working and initiates a communication to the mobile device associated with each staff member capable of working. The server receives a response from the mobile device indicating whether the staff member has accepted and determines whether the expected demand from the distributed network during the upcoming time period is satisfied.

Abstract: Methods and apparatuses are described for determining customer service quality through digitized voice characteristic measurement and filtering. A voice analysis module captures a first digitized voice segment corresponding to speech submitted by a user of a remote device. The voice analysis module extracts a first set of voice features from the first voice segment, and determines an emotion level of the user based upon the first set of voice features. The voice analysis module captures a second digitized voice segment corresponding to speech submitted by the user. The voice analysis module extracts a second set of voice features from the second voice segment, and determines a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features. The module normalizes the change in the emotion level of the user using emotion influence factors, and generates a service score.

Abstract: Methods and systems are described herein for securely analyzing transaction data of a user. A server computing device establishes a secure connection with a client device, which transmits transaction data to the server. The server establishes a hierarchy of nodes to profile a user's purchase history. The hierarchy includes a plurality of article nodes and category nodes. The server creates a new article node instance corresponding to the transaction data, the new article node storing descriptive properties of at least one item purchased by the user determined from the transaction data. The server links the new article node instance to at least one of the category nodes by classifying the descriptive properties of the item purchased with respect to relationships defined by the hierarchy. The server generates and transmits an event trigger to remind the user of a follow-up action and authenticates the client before the trigger is delivered.

Abstract: Methods and apparatuses are described for efficient resource management using mobile devices and wearable devices. A server determines an event causing unavailability of a center in a distributed network. The server determines an expected demand for service from the distributed network during an upcoming time period and identifies a mobile device and a wearable device associated with each staff member assigned to work at one of the plurality of centers that is available. The server retrieves location data from the mobile device and biometric data from the wearable device. The server identifies staff members capable of working and initiates a communication to the mobile device associated with each staff member capable of working. The server receives a response from the mobile device indicating whether the staff member has accepted and determines whether the expected demand from the distributed network during the upcoming time period is satisfied.

Abstract: Methods and apparatuses are described for proximity-based and user-based access control using wearable devices. A short-range frequency reader coupled to a target device detects a plurality of wearable devices in proximity to the reader, each wearable device comprising a short-range frequency antenna. The reader identifies, for each wearable device, a user wearing the wearable device. The reader determines, for each wearable device, a distance from the reader and an orientation in relation to the target device. The reader determines a level of access available to the target device based upon the identity of each user, the distance of each wearable device from the reader, the orientation of each wearable device in relation to the target device, and the distance of the wearable devices from each other in a three-dimensional space.

Abstract: Methods and apparatuses are described for determining customer service quality through digitized voice characteristic measurement and filtering. A voice analysis module captures a first digitized voice segment corresponding to speech submitted by a user of a remote device. The voice analysis module extracts a first set of voice features from the first voice segment, and determines an emotion level of the user based upon the first set of voice features. The voice analysis module captures a second digitized voice segment corresponding to speech submitted by the user. The voice analysis module extracts a second set of voice features from the second voice segment, and determines a change in the emotion level of the user by comparing the first set of voice features to the second set of voice features. The module normalizes the change in the emotion level of the user using emotion influence factors, and generates a service score.

Abstract: The Computationally Efficient Transfer Processing and Auditing Apparatuses, Methods and Systems (“CETPA”) transforms transaction record inputs via CETPA components into matrix and list tuple outputs for computationally efficient auditing. A blockchain transaction data auditing apparatus comprises a blockchain recordation component, a matrix Conversion component, and a bloom filter component.

Abstract: The Computationally Efficient Transfer Processing, Auditing, and Search Apparatuses, Methods and Systems (“SOCOACT”) transforms smart contract request, crypto currency deposit request, crypto collateral deposit request, crypto currency transfer request, crypto collateral transfer request inputs via SOCOACT components into transaction confirmation outputs. Also, SOCOACT transforms transaction record inputs via SOCOACT components into matrix and list tuple outputs for computationally efficient auditing. A blockchain transaction data auditing apparatus comprises a blockchain recordation component, a matrix Conversion component, and a bloom filter component.

Abstract: Methods and apparatuses are described for modifying operation of computing devices to mitigate short-term impaired judgment using wearable devices. A short-range frequency reader coupled to a target device detects a wearable device in proximity to the reader, the wearable device comprising a short-range frequency antenna. The reader identifies a user wearing the wearable device. The reader receives biometric information of the user from the wearable device. The reader determines a level of operational impairment of the user by analyzing the biometric information. The reader modifies one or more operational functions of the target device based upon the level of operational impairment of the user.

Abstract: Methods and apparatuses are described for proximity-based and user-based access control using wearable devices. A short-range frequency reader coupled to a target device detects a plurality of wearable devices in proximity to the reader, each wearable device comprising a short-range frequency antenna. The reader identifies, for each wearable device, a user wearing the wearable device. The reader determines, for each wearable device, a distance from the reader and an orientation in relation to the target device. The reader determines a level of access available to the target device based upon the identity of each user, the distance of each wearable device from the reader, the orientation of each wearable device in relation to the target device, and the distance of the wearable devices from each other in a three-dimensional space.

Abstract: The Computationally Efficient Transfer Processing, Auditing, and Search Apparatuses, Methods and Systems (“SOCOACT”) transforms smart contract request, crypto currency deposit request, crypto collateral deposit request, crypto currency transfer request, crypto collateral transfer request inputs via SOCOACT components into transaction confirmation outputs. Also, SOCOACT transforms transaction record inputs via SOCOACT components into matrix and list tuple outputs for computationally efficient auditing. A blockchain transaction data auditing apparatus comprises a blockchain recordation component, a matrix Conversion component, and a bloom filter component.

Abstract: Methods for providing a consumer services network are provided. For each electronic transaction that occurs between members of the network, a public and private trust rating score are determined based on the outcome and quality of electronic transactions.

Abstract: Methods and systems are described herein for securely analyzing transaction data of a user. A server computing device establishes a secure connection with a client device, which transmits transaction data to the server. The server establishes a hierarchy of nodes to profile a user's purchase history. The hierarchy includes a plurality of article nodes and category nodes. The server creates a new article node instance corresponding to the transaction data, the new article node storing descriptive properties of at least one item purchased by the user determined from the transaction data. The server links the new article node instance to at least one of the category nodes by classifying the descriptive properties of the item purchased with respect to relationships defined by the hierarchy. The server generates and transmits an event trigger to remind the user of a follow-up action and authenticates the client before the trigger is delivered.

Abstract: Methods and apparatuses are described for proximity-based and user-based access control using wearable devices. A short-range frequency reader coupled to a target device detects a plurality of wearable devices in proximity to the reader, each wearable device comprising a short-range frequency antenna. The reader identifies, for each wearable device, a user wearing the wearable device. The reader determines, for each wearable device, a distance from the reader and an orientation in relation to the target device. The reader determines a level of access available to the target device based upon the identity of each user, the distance of each wearable device from the reader, the orientation of each wearable device in relation to the target device, and the distance of the wearable devices from each other in a three-dimensional space.

Abstract: Described are methods and apparatuses, including computer program products, for automatically updating a tag embedded in a webpage that summarizes a current version of the webpage. A first model representative of the current version of the webpage is extracted. The first model is compared with a second model corresponding to a previous version of the webpage to detect one or more changes to the webpage. If the changes exceed a threshold, at least one keyword is determined for to the current version of the webpage. The tag of the webpage can be updated to include the keyword.

Abstract: A computer implemented method dynamically modifies media content to be presented to a group of viewers. A plurality of content filters, each of which has multiple sub-components and is based on a member profile of a different member of a media viewing audience, is generated. Media content is then modified, based on the plurality of content filters, to create a dynamically modified media content for viewing by the media viewing audience.