Abstract: Methods and systems for predicting performance of creative content are disclosed. Exemplary implementations may: receive a collection of images; provide a context to a user; serially cause display of pairs of images on a computer interface; receive user responses indicating which image of each pair is preferred given the context; determine a resonance value for each image based on a number of times the user responses indicate each image is preferred when displayed in a pair of images; determine a confidence score for each image; generate one or more models for predicting image performance based on one or more of the resonance value and the confidence score for each image; receive a plurality of candidate images; determine, using at least one model, a first metric set for each candidate; and cause display of a listing of the candidate images, the listing including the first metric set for each candidate image.

Abstract: A method for recommending results to a user from a search query is provided. The method includes receiving, in a search engine, a search query for a media file from a user, identifying a style preference of the user associated with a one or more media file attributes, based on a user-related search history, selecting, from a database, a one or more media files based on the search query and the style preference of the user, determining a style preference score for the one or more media files based on the media file attributes, and recommending to the user a top ranked media file based on the style preference score. A system including a memory storing instructions and one or more processors to execute the instructions to cause the system to perform the above method is also provided.

Abstract: An apparatus, method and computer program is described comprising: receiving interaction information via at least one user device, wherein the interaction information is related to at least one user using at least one user device in relation to a first content creation task; receiving sensor data relating to the at least one user from one or more sensors; and determining data, using a first model, the data comprising content creation performance data and user state data, wherein: the content creation performance data indicates performance of the at least one user in relation to the first content creation task, based, at least in part, on the interaction information and a first content created when the at least one user performs the first content creation task; and the user state data is based, at least in part, on the received sensor data in relation to the first content creation task.

Abstract: Apparatus, methods, and systems for receiving physiological measurements relating to a user, wherein the physiological measurements comprise heart beat measurements; determining, based on intervals between peaks of the physiological measurements, a first physiological pattern; determining a cognitive activation score based on a comparison between the first physiological pattern and a baseline physiological pattern of the user, wherein the baseline physiological pattern relates to a baseline state of the user and the first physiological pattern relates to a first emotional or cognitive state of the user.

Abstract: An apparatus, method and computer program is described comprising: receiving interaction information via at least one user device, wherein the interaction information is related to at least one user using at least one user device in relation to a first content creation task; receiving sensor data relating to the at least one user from one or more sensors; and determining data, using a first model, the data comprising content creation performance data and user state data, wherein: the content creation performance data indicates performance of the at least one user in relation to the first content creation task, based, at least in part, on the interaction information and a first content created when the at least one user performs the first content creation task; and the user state data is based, at least in part, on the received sensor data in relation to the first content creation task.

Abstract: An apparatus, method and computer program is described comprising: receiving data relating to a first operator performing at least part of a first task, wherein at least part of the data is received from one or more sensors; using a first workload model for determining, based on the received data, a workload of the first operator over a first time period; communicating information relating to the workload of the first operator to one or more receivers; and performing at least one of: monitoring the workload of the first operator; or altering the demands on the first operator based on at least one of the information relating to the workload of the first operator, or information relating to a respective workload of one or more other operators.

Abstract: An apparatus, method and computer program is described comprising: receiving data relating to a first user from one or more sensors; processing the received data (by determining a symptomatic experience of the first user and determining one or more signals for inducing a trigger for a second user corresponding to the determined symptomatic experience); and communicating the one or more signals to the second user

Abstract: A configuration method, equipment, system and computer readable medium for determining a new configuration of calculation resources associated to a function and to at least one future time slot, the calculation resources being defined as different calculation capacities allocated to the function during a time slot and included within at least one computer, the configuration method comprising a first step of determining an old demand, a second step of determining a plurality of conditional probabilities associated to the old demand and to a plurality of new demands, a third step of determining a plurality of reconfiguration costs associated to a plurality available configurations, a step of selecting the new configuration as being the available configuration associated to the minimal reconfiguration cost.

Abstract: A method of determining a set of virtual machine instances in a virtualized system to be scaled in response to a variation in workload of a service or application component, the method comprising generating respective sets of aggregated metrics for respective ones of multiple virtual machines, generating a directed graph in which nodes representing a resource of one or more of the multiple virtual machines are linked using one or more edges, the weight of each of the edges representing a time-lagged partial correlation value and a time lag value representing a measure of when to scale one resource relative to another, determining the set of virtual machine instances to be scaled by removing edges of the directed graph whose weight falls below a threshold measure and removing nodes whose incident edges have been removed, and scaling the weight of remaining edges of the directed graph relative to a selected node of the graph.

Abstract: A configuration method, equipment, system and computer readable medium for determining a new configuration of calculation retraffic sources associated to a function and to at least one future time slot, the calculation resources being defined as different calculation capacities allocated to the function during a time slot and included within at least one computer, the configuration method comprising a first step of determining an old demand, a second step of determining a plurality of conditional probabilities associated to the old demand and to a plurality of new demands, a third step of determining a plurality of reconfiguration costs associated to a plurality available configurations, a step of selecting the new configuration as being the available configuration associated to the minimal reconfiguration cost.

Abstract: Systems and methods are provided for constructing a collection of one or more tree sub-graph representations of a graph including multiple interconnected nodes, where the one or more tree sub-graph representations of the graph are used to estimate the shortest distance between any two nodes of a graph. One of the features of the systems and methods disclosed herein is a methodology for the selection or designation of root nodes for constructing the collection of the one or more tree sub-graph representations. Another feature of the present disclosure is a methodology of expanding the parent nodes in a given level of the tree sub-graph representations into one or more child nodes in a successive level of the tree-graph representations based on a descending order of degree of the parent nodes.

Abstract: Private data in a cloud-based network may be protected by insuring that inadvertent, malicious, or suspicious access to such data is minimized. Reachability analyses may generate directed graphs that can be displayed as paths on a graphical user interface. If a displayed component of a path indicates that inadvertent, malicious or suspicious access may occur corrective action may be taken to prevent such access.

Abstract: Systems and methods for run-time monitoring, tuning and optimization of distributed systems are provided. In various aspects, a system or method may include measuring run-time values for one or more performance metrics of the distributed system, such as, for example, task-latencies, process-throughputs, and the degree of utilization of various physical resources of the system. The system or method may further include comparing the measured run-time values with one or more target values assigned to the performance metrics, and, based on the comparison, adjusting one or more tunable run-time control variables of the distributed system, such as the number of the tasks, processes, and nodes executing in the distributed system.