Abstract: Transaction modification based on modeled profiles is described. In an example, transaction data can be received by a payment processing system. The payment processing system can generate, using a trained model, profiles. Based at least in part on (i) receiving an indication that a buyer and a merchant are engaged in, or likely to be engaged in, a transaction and (ii) determining that a characteristic of the transaction corresponds to a profile, generating a communication to enable the buyer or the merchant to modify the transaction in association with processing of the transaction.

Abstract: Systems, methods, devices, server computers, storage media, and instructions for prioritized device action triggered by device scan data are described. In one embodiment, a mobile device performs a method that involves executing a messaging application with an image capture interface and a scanning input. An associated scanning mode comprises capture of scan data from a plurality of input/output modules of the first client device, analyzes the scan data to identify one or more scan data patterns by matching at least a portion of the scan data against a set of data patterns, and selects a priority system action based on the results of the matching of the portion of the scan data against the set of data patterns. In some embodiments, the priority system action is selected based on a priority ranking for identified scan data types.

Abstract: A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an input attribute of user engagement with a single-action haptic input mechanism. For example, the duration for which a single-action control button carried on a frame of the device is pressed automatically determines an image stabilization mode for on-board processing of captured image data. In one example, an above-threshold press duration automatically activates a less rigorous image stabilization mode, while button release before expiry of the threshold automatically activates a more rigorous photo stabilization mode.

Abstract: A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an image metric calculated from image data captured by the device. The device can be configured for processing image data captured by an on-board camera to determine the image metric, and to perform an automated adjustment action based on the determined value of the image metric. In sonic embodiments, the image metric is an image brightness metric upon which automated adjustment of a camera sensitivity parameter is based.

Abstract: Buyer profile management is described herein. In an example, a payment processing service can store, in a database, buyer profiles associated with buyers involved in transactions with one or more merchants of the payment processing service. The payment processing service can receive transaction data associated with a new transaction between a buyer and a merchant and can determine whether the transaction data corresponds to any of the buyer profiles. Based at least in part on determining that the transaction data corresponds to one of the buyer profiles, the payment processing service can update the database storing the buyer profiles, wherein updating the database comprises merging two or more buyer profiles. A recommendation can be made based on the merged buyer profile prior to completion of the new transaction.

Abstract: An aircraft intake duct for channeling a flow of ambient air toward an annular engine compressor inlet of a gas turbine engine having a compressor reference axis and a reference plane that extends from such compressor reference axis. The aircraft intake duct includes an oblong air intake inlet for receiving the flow of ambient air, the air intake inlet being offset radially outwardly relative to the compressor reference axis and located on a first side of the reference plane. Two distal intake channels fluidly link distal extremities of the oblong air intake inlet to a segment of the annular engine compressor inlet located on a second side of the reference plane. A central channel fluidly links a central section of the oblong air intake inlet to a segment of the annular engine compressor inlet located on a first side of the reference plane. The distal channels are blended together by the central channel so that a single intake duct is formed.

Abstract: A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an input attribute of user engagement with a single-action haptic input mechanism. For example, the duration for which a single-action control button carried on a frame of the device is pressed automatically determines an image stabilization mode for on-board processing of captured image data. In one example, an above-threshold press duration automatically activates a less rigorous image stabilization mode, while button release before expiry of the threshold automatically activates a more rigorous photo stabilization mode.

Abstract: A computer-implemented method, system, and computer program product are provided for optimization with domain knowledge requirements. The method includes receiving, by a processor device, domain knowledge requirements for a target system. The method also includes defining, by a domain knowledge manager, a status of the domain knowledge employing a factor responsive to the domain knowledge. The method additionally includes computing, by an effective metric generator, effective performance metrics responsive to the status of the domain knowledge requirements and real performance metrics. The method further includes generating, by an optimization engine, a target system configuration responsive to the effective performance metrics and the real performance metrics. The method also includes improving the target system by changing a state of a function in the target system responsive to the target system configuration.

Abstract: A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an image metric calculated from image data captured by the device. The device can be configured for processing image data captured by an on-board camera to determine the image metric, and to perform an automated adjustment action based on the determined value of the image metric. In some embodiments, the image metric is an image brightness metric upon which automated adjustment of a camera sensitivity parameter is based.

Abstract: Embodiments of embodiments of the present invention relate to generation of a training model using virtual dataset and probe training models. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a user dataset for training; testing, by the device, the user dataset with one or more probe training models; and in response to a result of the testing being similar to an existing result of running the one or more probe training models on an existing virtual dataset, grouping, by the device, the user dataset with the existing virtual dataset.

Abstract: Embodiments of the present disclosure target advertising to a group of related users of a social networking system. To target advertising to a group of users, the social networking system receives targeting criteria specifying a group to receive an advertisement at substantially the same time. To identify a group of users of the social networking system satisfying the targeting criteria, the social networking system observes the interactions of connected social networking system users. Connected users interacting with each other in a manner that satisfies the targeting criteria may be added to a group. The social networking system serves the advertisement to a set of users included in the group because the served users are members of the group.

Abstract: A machine-learning model generation method, system, and computer program product deciding, via a first algorithm, a machine-learning algorithm that is best for customer data, invoking the machine-learning algorithm to train a neural network model with the customer data, analyzing the neural network model produced by the training for an accuracy, and improving the accuracy by iteratively repeating the training of the neural network model until a customer-defined constraint is met, as determined by the first algorithm.

Abstract: Systems, methods, devices, server computers, storage media, and instructions for prioritized device action triggered by device scan data are described. In one embodiment, a mobile device performs a method that involves executing a messaging application with an image capture interface and a scanning input. An associated scanning mode comprises capture of scan data from a plurality of input/output modules of the first client device, analyzes the scan data to identify one or more scan data patterns by matching at least a portion of the scan data against a set of data patterns, and selects a priority system action based on the results of the matching of the portion of the scan data against the set of data patterns. In some embodiments, the priority system action is selected based on a priority ranking for identified scan data types.

Abstract: Systems and methods provide for a server computer to receive a request from a first device to share a plurality of media content items with a second device, the request including a unique identifier for each of the plurality of media content items. The server computer determines a subset of the plurality of media content items to be processed by the first device, generates instructions for processing the subset of the plurality of media content items by the first device, and sends the instructions to the first device. The server computer receives the processed media content items for the subset of the plurality of media content items that were processed by the first device, generates a message enabling access to processed media content items for the plurality of media content items, and sends the generated message to the second device.

Abstract: Methods and systems for training a machine learning model include training a machine learning model using training data. A status of the machine learning model's training is determined based on an accuracy curve of the machine learning model over the course of the training. Parameters of the training are adjusted based on the status. Training of the machine learning model is completed using the adjusted parameters.

Abstract: Systems and method are provided for sending a request for instructions to process a plurality of media content items, the request including a unique identifier for each of the plurality of media content items, receiving instructions for processing a subset of the plurality of content items, and processing the subset of the plurality of media content items. The systems and methods further providing for sending a request to share the plurality of media content items with a second computing device, the request including the unique identifier for each of the plurality of media content items to be shared and processed media content items for the subset of the plurality of media content items, wherein a message including the processed media content items for the plurality of media content items is generated and sent to the second device.

Abstract: A seed cluster comprising a group of users who share a particular attribute and/or affiliation is determined by a social networking system. For each user of the seed cluster, other users and/or entities connected to the user in the social networking system are retrieved. For each retrieved other user or entity, the social networking system may determine whether the other user or entity exhibits the attribute or affiliation based on a random walk algorithm. A resulting targeting cluster of users and/or entities may be used for targeting advertisements targeting to members. A social networking system may also infer an affiliation for a user based on the user's interaction with a page, application, or entity where other users who interacted with the same page, application, or entity have the same affiliation.

Abstract: An automatic feed device has a drive unit, a feed chimney, a feed unit mounted under the feed chimney and equipped with a case opening up and down for connection, a tubular sleeve deployed inside the case for accommodating a rotatable drum and opening up and down as an allocation for a feed inlet and a feed outlet, wherein the rotatable drum prepared with an impeller and a pair of round barriers for fixing the impeller between, the impeller having a plurality of blades arranged at equal angle, between the adjacent blades dividing several spaces in positional correspondence with the feed inlet and feed outlet and making rotation once driven by the drive unit. Therefore, the users can control the accurate amount for provender supply by manipulating the drive unit.

Abstract: A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an input attribute of user engagement with a single-action haptic input mechanism. For example, the duration for which a single-action control button carried on a frame of the device is pressed automatically determines an image stabilization mode for on-board processing of captured image data. In one example, an above-threshold press duration automatically activates a less rigorous image stabilization mode, while button release before expiry of the threshold automatically activates a more rigorous photo stabilization mode.

Abstract: Systems and methods for distributing photo filters based on the location of the object in the image are described. A photo filter publication system detects that a client device in communication with the system has captured an image, identifies an object in the image, identifies a location of the object in the image, identifies an image overlay associated with the identified location and having object criteria satisfied by the identified object, and provides the identified image overlay to the client device.