Abstract: A system, method and program product for managing notifications on a smart device. A disclosed system includes: an application (App) interface layer that interfaces with Apps residing on the smart device and intercepts notifications generated by the Apps; and a notification processing system that includes: a data collection module that collects contextual data, behavioral data, and collaborative data; a profile builder that builds and updates a dynamic user profile based on data collected by the data collection module; and a notification analyzer that analyzes each intercepted notification relative to the dynamic user profile, calculates a probability score of a user response to each intercepted notification, and determines whether to output each intercepted notification to a user via a user interface based on the probability score.

Abstract: Systems, methods, and a computer readable medium are provided for generating natural language recommendations based on an industrial language model. Input data, including a plurality of natural language input units is received from a first computing device and transmitted to a second computing device. The second computing device can determine an output including a plurality of natural language outputs using a predictive model trained to generate the output corresponding to an energy exploration lexicon. The second computing device can provide the output to the first computing device for display.

Abstract: Systems for determining and presenting consensus based on evaluating a message conversation are described. A consensus determination application may automatically parse each message of a series of messages related to a topic, using natural language processing or similar methods, to determine one or more suggestions and corresponding opinions for the one or more suggestions contained within those messages. The consensus for each of the one or more suggestions may be presented to a user. By viewing the automatically-determined consensus, the user may, without reading and evaluating all of the messages within the conversation, understand the level of consensus regarding the topic across the group of message participants. Accordingly, user burden is reduced and users may more effectively debate ideas and present suggestions with fewer misunderstandings, leading to an overall better user experience.

Abstract: A mobile application is provided that provides intelligent recommendations based on the knowledge of where the user has been, and what venues the user would like to visit. Further, such an application may be capable of determining where people in a user's social network have been and what venue locations these related users would like to visit. Also, in another implementation, the application may be capable of determining where people with similar taste have been, and where they would like to go. Some or all of this information may be used by a mobile application that provides recommendations to a user. For instance, in one implementation, a user having a mobile device such as a cell phone wishes to locate a venue based on one or more parameters, and some or all of this information may be used to order to rank recommendations with the interface.

Abstract: Methods and systems including computer programs encoded on a computer storage medium, for receiving a request for digital content to be provided from a plurality of items of digital content, determining a set of content scores for each item of digital content in the plurality of items of digital content, each content score in the set of content scores being specific to a user of the plurality of users, and a respective item of digital content, calculating a combined score deviation for each item of digital content based on a difference between a minimum content score and a maximum content score of the set of content scores of a respective item of digital content, determining at least one candidate item of digital content, the at least one candidate item of digital content having a lowest combined score deviation among combined score deviations of the plurality of items of digital content, and providing the at least one candidate item of digital content.

Abstract: A method and system for generating an answer to a question. The system includes a computing device. The computing device has a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: receive the question inputted by a user regarding a product; extract target answers from a question-answer (QA) knowledge base using the question to form an answer set; extract user comments regarding the product from a comment database to form a comment set; cluster keywords in the answer set to obtain cluster centers; filter the answer set and the comment set using the cluster centers to obtain answer subset and comment subset; and generate the answer to the question from the comment subset, wherein the answer is selected from the comment subset and has high sentence similarity to sentences in the answer subset.

Abstract: Detection and correction of technical and non-technical errors in smart grid power distribution are described. A system, method and non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors, causes the one or more processors to perform a method for detecting and correcting technical and non-technical power losses in a smart grid that feature the following functions: remotely characterizing and updating the cables impedances, detecting and classifying the types of losses, estimating the technical and non-technical power losses when a check or smart meter is in error, estimating losses due to tapping a power cable by a registered or an unregistered user, and estimating losses due to a cyber attack. Technical errors corrected are impedance and reactance losses in the power distribution. Non-technical errors identified and corrected are no error, check meter in error, smart meter in error, tapping service cables, or cyber attacks.

Abstract: The invention is a data processing method and system for notifying petroleum geoscientists of contradictions in sentiment between petroleum geoscience topic associations in text. The data processing system makes the necessary calculations to detect petroleum geoscience associations of interest, predict their sentiment and report contradictions in sentiment. Contradictions can be calibrated with past business success and failures through time, such as exploration or operations, to create a classifier to predict future areas of opportunity and risk. In particular, the data processing system operates on any digital unstructured text derived from academic literature, company reports, web pages and other sources. This information is analyzed and utilized by the system assisting petroleum geoscientists to identify business opportunities and risks.

Abstract: One network monitoring system maintains both information regarding historical activity and emergent activity of the network. Comparison of recent activity of the network with historical activity allows the system to determine whether recent network activity is within the realm of normal. The system maintains data structures representing a p.d.f. for observable values of network parameters. Such data structures are maintained both for historical and for emergent activity of the network. Recent activity can be compared with the p.d.f. for historical activity to aid in determining whether that recent activity is within the realm of normal. Network activity not within the realm of normal can include values of observable network parameters too high or too low to be consistent with historical activity of the network, or other values too unlikely to be consistent with historical activity at the network.

Abstract: According to some aspects, disclosed methods and systems may include having a user input one or more speech commands into an input device of a user device. The user device may communicate with one or more components or devices at a local office or headend. The local office or the user device may transcribe the speech commands into language transcriptions. The local office or the user device may determine a mood for the user based on whether any of the speech commands may have been repeated. The local office or the user device may determine, based on the mood of the user, which content asset or content service to make available to the user device.

Abstract: A material-property-value estimating method of estimating a material-property-value of a target steel-strip product manufactured via at least one of a reheating process, a rolling process, and a cooling process, which are performed while a target material is being conveyed along a conveyance route, the material-property-value estimating method includes an estimating step of estimating a material-property-value of each of meshes dividing the target steel-strip product based on a measured value that has been measured once or more by a measuring device installed on the conveyance route, the measured value including at least a temperature of the target material; and a chemical composition per component of the target steel-strip product.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosure provides a computerized framework for automatically generating chatbot responses to produce domain-specific responses that mimic native styles unique to particular domains. The disclosed systems and methods construct domain-specific word-graphs based on account activity from specific domains and generate word-patterns. New words obtained from the patterns in the graph are introduced to transform the regular response. The graph is then pruned using data-driven thresholds in order to avoid spurious transformations, and paragraph vectors are also utilized to assign relevance scores to generated patterns such that only the patterns that are contextually similar to the original response (generic/regular response) are used.

Abstract: Data is classified using automatically selected hyperparameter values. (A) A first loss value is determined based on a converged classification matrix. (B) Each observation vector is assigned to a cluster using a clustering algorithm based on the converged classification matrix. (C) A predefined number of observation vectors is selected from each cluster. D) Classified observation vectors and unclassified observation vectors are updated based on the selections in (C) and (A) is repeated. (E) An entropy loss value is determined, wherein (A) to (E) are repeated for a plurality of different values of a kernel parameter value and a batch size value. (F) A second loss value is determined based on the converged classification matrix, a label matrix defined from the converged classification matrix, and a weight value. (L) (A) to (F) are repeated with a plurality of different values of the weight value until convergence is satisfied.

Abstract: A computer-implemented network diagnostics system includes a system management module, coupled to a communications network and a network accessible storage via a network interface of the system management module. The system management module is configured to direct a server to display a plurality of respective status indicators for a plurality of client resources of the communications network, identify one or more client resources of the plurality of client resources experiencing a functional impairment, apply an impact analysis framework to determine the functional impairment experienced by the one or more client resources of the plurality of client resources is causally related to a maintenance operation, and direct the server to update the respective status indicators associated with the one or more client resources of the plurality of client resources whose functional impairment is causally related to the maintenance operation to reflect that the respective client resource is undergoing maintenance.

Abstract: A consumption probability metric may be generated for a media asset. An aggregated forecast predicting user consumption of a media asset is received. A plurality of probabilities, each corresponding to a user of a plurality of users, is received, each indicating how likely a respective user is to consume the media asset. A weight for the plurality of users is calculated representing a ratio of the total number of users to a number of users in the plurality of users. A disaggregated forecast predicting user consumption of a media asset is determined based on the weight for the plurality of users and the plurality of probabilities. A modification factor is computed based on the aggregated forecast and the disaggregated forecast. A metric is generated that includes a plurality of user identifiers associated with the plurality of users and a plurality of modified probabilities each modified by the modification factor.

Abstract: A device, system and method for deploying communication devices based on historic incidents is provided. Predicted incident risks for a given time are determined for regions, based on distance and time differences of historic incidents, relative to the given time and a region over a first time period and a distance from a region, and incident prediction parameters for weighting the differences. From the predicted incident risks, a subset of the regions having highest predicted incident risks is determined, and a prediction efficiency is determined based on a number of the incidents in the subset relative to a total number of the incidents for the regions. The first time period, the distance, and the incident prediction parameters are varied when determining the predicted incident risks and the subset, to maximize the prediction efficiency for the second time period. Commands are generated for deploying communication devices to the subset.

Abstract: Dynamic event-based content distribution is facilitated. In one embodiment, a method comprises evaluating, by a device comprising a processor and communicatively coupled to a content node device of content node devices, a criterion to select content of a plurality of content to present from the content node device to a mobile device, wherein the criterion and selected content are associated with a time-limited event, the time-limited event occurring independent of the mobile device. The method also includes selecting, by the device, a value of values for the selected content, wherein the selected value is based on first geographical information for the time-limited event and second geographical information for the mobile device. The method also includes generating, by the device, information to cause the content node device to present, to the mobile device, the selected content with the selected value, wherein the generating is based on the evaluating and the selecting.

Abstract: A power management method and a terminal device are provided, so as to prevent an ongoing service from being affected because of power saving. The method includes: receiving, by a terminal device, a first operation, where the first operation is used to invoke a first application program; querying, by the terminal device, an association relationship between a power range and an application program, so as to determine whether the first application program to be invoked in response to the first operation is an available application program associated with a power range to which current remaining power of the terminal device belongs; and skipping invoking, by the terminal device, the first application program if the first application program is not an available application program associated with the power range to which the current remaining power belongs.

Abstract: A system includes a processor configured to predict upcoming driver behavior based on a correlation between received context variables and previously observed driver behavior. The processor is also configured to request confirmation that predicted behavior is intended by a driver. Further, the processor is configured to change an in-vehicle display to include a control or feature relevant to the predicted behavior, upon confirmation receipt.

Abstract: According to various embodiments, techniques for anticipatory cyber defense are disclosed. The techniques includes receiving cyber incident reports, extracting keywords from the reports, applying a shallow machine learning technique to obtain an identification of a first subset of the networked assets vulnerable to at least a first threat scenario and an identification of the first threat scenario, applying a deep machine learning technique to at least the first subset, the first threat scenario, the keywords, and the plurality of networked assets, to obtain a second subset of the networked assets vulnerable to at least a second threat scenario and the second threat scenario, simulating the networked assets and the second threat scenario to identify at least one path through the networked assets vulnerable to at least a third threat scenario, and outputting an identification of the at least one path and an identification of the third threat scenario.

Abstract: Techniques and apparatuses for highlighting media through weighting of people or contexts are described. This document describes techniques that allow a user to quickly and easily highlight media, such as through generating a highlight reel. The techniques also enable selection of context and person weightings by which to tailor highlight reels.

Abstract: Systems and methods for automated control of vehicle lane change maneuvers are disclosed. Some implementations may include detecting, based on data from a sensor in the first vehicle, one or more other vehicles that are moving in a target lane of the road. Some implementations may include determining, based on the kinematic state of the vehicle and a prediction of motion of the one or more other vehicles in the target lane, estimates of headway in relation to at least one of the one or more other vehicles in the target lane. Some implementations may include determining, based at least in part on the estimates of headway, overtake decisions for the one or more other vehicles traveling in the target lane. Some implementations may include determining a motion plan that will transition the first vehicle from the current lane to the target lane based the overtake decisions.

Abstract: A set of resource requests that each includes authorization-supporting data for receiving a requested resource can be received. For each request, augmenting data associated with part of the data is retrieved, and it is determined whether access is authorized based on the augmenting data and the authorization-supporting data. A machine-learning model is trained using representations of the set of resource requests and the authorization determinations. Additional requests are processed by the trained model to generate corresponding authorization outputs. One or more identifiers to flag for inhibition of resource access are determined based on the authorization outputs. Upon detecting that a new resource request to access a particular resource includes an identifier of the one or more identifiers, a new authorization output is generated to inhibit access to the particular resource.

Abstract: Provided is a latent variable based taste determination method of determining including acquiring, by a computing apparatus, a response of the user on a plurality of questions associated with one of a plurality of areas including a gustatory area, a food ingredient area, and a restaurant environment area, or supporting another apparatus interacting with the computing apparatus to acquire the response; extracting, by the computing apparatus, independent latent variables representing taste load of the user in each of the plurality of areas, based on the response; extracting, by the computing apparatus, p hidden variables representing a correlation between the independent latent variables using a pretrained estimation model; and determining the taste of the user by comparing, by the computing apparatus, Euclidean distances between the hidden variables of the user and centroids of pre-grouped k taste groups. Here, each of p and k denotes a natural number of 1 or more.

Abstract: A method and apparatus for assessing the health of a process is provided where the health of a client's process is assessed across a plurality of dimensions based on computing a process health index. The process health index is computed by determining a sub-process health index across a plurality of dimensions for the sub-processes comprising the process. The sub-process health index across different dimensions is determined based, at least in part, on responses to a set of evaluators and the dimensional weight value assigned to each of the dimensions. The response to each evaluator is an option selected from a plurality of weighted options. The sub-process health index is then stored. A process health index is calculated based on the sub-process health index for each sub-process across a plurality of dimensions and the sub-process weight value assigned to each of the sub-processes. The process health index is stored and used to assess the health of a client's process.

Abstract: A preprocessor into which time-series sensor data is input includes a correspondence table associating sensor data with a physical unit. A physical extraction unit that obtains sensor data, and specifies a physical unit based on the correspondence table. A latent variable generation unit specifies a nonlinear function from the physical unit, and generates a latent variable for applying the sensor data to the specified nonlinear function. A latent variable addition unit obtains time-series sensor data and sets the data as a variable, applies the obtained time-series sensor data to the latent variable to generate time-series data and sets the data as a variable, and adds the generated time-series data to the obtained time-series sensor data to generate a data set of a plurality of variables. Then a relational expression estimation-processing unit that analyzes a relationship between the variables of the data set, and generates a linear relational expression.

Abstract: A universal identification graph algorithm connects identities across computing devices and digital channels to one customer. The universal identification allow marketers to engage customers with relevant brand experience as they move between devices and across all digital channels. The universal identification graph algorithm enables mapping of a customer's journey across multiple, different identifications, allows deep personalization based on behaviors, habits, and preferences across the entire customer journey, helps create a more comprehensive customer profile to enable marketers to target the customer with relevant content at the right time and through the right channels, and also provides the customer with the ability to quickly opt out.

Abstract: All equipment will fail if not properly maintained so it is imperative to check the state of the equipment, periodically. Accordingly, an assessment system including an equipment analyzer is provided for analyzing the state of equipment. The analyzer includes an interactive interface for arranging a plurality of selectable assessment elements. Each element represents an assessment procedure for evaluating a state of equipment and is linked to a respective process pipeline. A controller activates a tool in the process pipeline for carrying out an assessing task. The controller verifies whether the task is complete based on feedback provided by the user and stores the feedback for generating reports. Whether a tool is activated or a task can be completed is limited to when the user is at the point of evaluation. Accordingly, the assessment system can ensure that evaluations are accurately completed at the time of evaluation.

Abstract: An experimental system comprises a water level indicator, a data processing module, and an experimental simulator. The water level indicator is connected to the data processing module, and the water level indicator is mounted nearby the experimental simulator when in use. The experimental simulator comprises several experimental units. Each experimental unit comprises a first pipe, a second pipe, and a third pipe, wherein the first pipe perpendicularly communicates with the second pipe, a check valve which allows water to flow out but allows no water to flow in is connected to the water outlet of the second pipe, and the third pipe perpendicularly communicates with the second pipe and is parallel to the first pipe. The heights of the third pipes of the several experimental units are in a decreasing or increasing order.

Abstract: Systems and methods provide for generating predictive models that are useful in predicting next-user-actions. User-specific navigation sequences are obtained, the navigation sequences representing temporally-related series of actions performed by users during navigation sessions. To each navigation sequence, a Recurrent Neural Network (RNN) is applied to encode the navigation sequences into user embeddings that reflect time-based, sequential navigation patterns for the user. Once a set of navigation sequences is encoded to a set of user embeddings, a variety of classifiers (prediction models) may be applied to the user embeddings to predict what a probable next-user-action may be and/or the likelihood that the next-user-action will be a desired target action.

Abstract: Processing genetic information comprises: receiving an input that includes information pertaining to a specific genetic variant; and identifying, in a database comprising genotype information of a plurality of candidate individuals, a matching individual imputed to have the specific genetic variant. The genotype information of the matching individual corresponding to the specific genetic variant is not directly assayed.

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating data transformations, according to embodiments of the present invention. In one embodiment, a transformation function is executed using an example input value to obtain an initial output value. Thereafter, a plurality of supplemental transformation tools is applied to the initial output value to generate a plurality of intermediary output values. Based on a comparison of each of the intermediary output values to an example output value, the supplemental transformation tool that generated an intermediary output value having a greatest extent of similarity to the example output values is identified. The identified supplemental transformation tool and the transformation function are used to generate a transformation program that transforms the example input values to the desired form in which to transform data.

Abstract: An environmental sensor for measuring physical quantities associated with a surrounding environment includes one or more sensor elements that detect the physical quantities, and a user recognition unit that recognizes a change in a physical quantity detected by at least one of the sensor elements as being caused by a user when the physical quantity changes in accordance with a predetermined rule.

Abstract: The present disclosure illustrates a robot speech control system including a robot body, a handheld device, a command receiver, an ambient sensor, a processor and a controller. The handheld device includes a display interface and a speech input interface, and the speech input interface is configured to input a speech command which is then converted, by a speech recognition program, into a speech control instruction. An auto-dodge program converts the information into an auto-dodge instruction. The processor receives the speech control instruction and the information associated with the environment, and use Bayesian regression algorithm to calculate a free space probability, so as to obtain weights of a speech command and a dodge command. The processor integrates the speech control instruction and the weight of the speech command, and the auto-dodge instruction and the weight of the dodge command, to generate a movement control instruction.

Abstract: Collaborative-filtered content recommendations with justification in real-time is described. A recommendation system determines these recommendations, in part, by identifying digital content items of a catalog that are associated with a single attribute used to describe digital content. The attribute used for the identification is based on affinity scores computed for a client device user to which the recommendations are being provided. These affinity scores indicate the client device user's affinity for different attributes used to describe the digital content. Once the digital content items are identified based on the one attribute, the recommendation system is then limited to ranking and selecting from the identified digital content items to provide the recommendations. The recommendation system does not process the entire catalog of digital content items at once to rank and select the items.

Abstract: A method for training a question answering system includes providing training questions to a question answering system executing on a computer and to a plurality of subject matter experts. The question answering system generates first answers to each training question. Second answers to the training questions are received from the subject matter experts. Feature scores for each of the first answers and the second answers are generated and compared across the second answers and the first answers. Each of the feature scores is representative of a quality of an answer that is indicative of relevance to a corresponding training question. Based on the comparing, a measure of consistency of the feature scores of the second answers is determined, and a measure of consistency of the feature scores of the second answers to the first answers is determined. The measures of consistency are transmitted to the subject matter experts.

Abstract: Improved computer data query processing by a) identifying a cut point value (CPV) for a data set, where an attribute value of each data set record is normalized between first and second normal bounds, where the CPV is any value between the normal bounds that is associated with a maximum data skipping performance value (DSP) calculated by applying a DSP function based on the normalized values and the CPV, and where the DSP function relates to a selected data query distribution profile, b) partitioning the data set into multiple partitions, one partition including a data record subset whose corresponding normalized attribute values are greater than the CPV, and another partition including a data record subset whose corresponding normalized attribute values are less than the CPV, and c) storing the partitions on physical data storage media for access by a computer configured to perform data query processing.

Abstract: The present disclosure relates to the field of direct communication and engagement within organization. In the modern scenario, there is an inherent need for the organization to provide information requested by its employees via direct electronic communication. The number of employees requesting information is usually much larger as compared to the number of management personnel equipped to provide the requested information and the companies are, thus, at a disadvantage in their ability to provide information to their employees. Therefore, there is a need for a system of direct electronic communication that enables organizations to provide information requested by individual employees, identify resources within the organization capable of providing the requested information, and route queries to the best available resource.

Abstract: An approach for predictively scoring test case results in real-time. Test case results associated with a test run are received by a software testing environment. Using predictive statistical models, test case results and attribute relationships are matched against model rules and test case history. A statistical correlation and confidence parameter provide the ability to generate test case relationships for predicting the outcome of other test cases in the test run. The test case relationships are transformed into scoring results and output for the further processing.

Abstract: Implementations of the present disclosure include actions of receiving search results that are responsive to the search query, the search results being respectively representative of resources, processing one or more triggering rules based on at least one of the search query and the search results, determining, based on processing the one or more triggering rules, that a set of data records is to be displayed in a search results page with the search results, the set of data records including data records that are specific to the user, determining a display prominence of at least one data record in the set of data records, the display prominence indicating a prominence of the at least one data record when displayed in the search results page, and providing the search results and the set of data records for display, the at least one data record being displayed based on the display prominence.

Abstract: A system and method for predictive ticketing in information technology (IT) systems. The method includes extracting a plurality of features from monitoring data related to an IT system, wherein the plurality of features includes at least one incident parameter, wherein the monitoring data includes machine-generated textual data; applying a machine learning model to the extracted plurality of features, wherein the machine learning model is configured to output a suitable insight for an incident represented by the at least one incident parameter, wherein the suitable insight is selected from among a plurality of historical insights; and generating a predictive ticket based on the suitable insight, wherein the predictive ticket includes a textual description of an expected future symptom in the IT system.

Abstract: Mechanisms are provided for customizing responses to future questions based on identified anomalies in user profile information. An automated dialogue system monitors information associated with a plurality of entities, where the information includes quantities for variable values associated with the entities. The automated dialogue system, in response to determining that a quantity of a variable value associated with an entity in the plurality of entities has changed by an amount equal to or exceeding a corresponding threshold value, generates response information associated with a quantity of the variable value and an entity to respond to at least one future question. In addition, the automated dialogue system stores the responsive information in association with the entity for later retrieval in response to initiation of a dialogue session with the automated dialogue system. Time thresholds may be established for determining when to stop using the responsive information for responding to questions.

Abstract: A processor may identify, using historical data, an amount of computing resources consumed to remedy the failure with an automatic remedy step. The processor may determine that the amount of consumed computing resources to remedy the failure is less than an amount of computing resources consumed by restarting the process. The processor may perform the automatic remedy step. The processor may identify that the automatic remedy step has failed. The processor may determine a waiting period based on an estimated time to receive a user response to the failure and an estimated load on the computing cluster. The processor may display a generated alert to a user during the waiting period. The processor may identify that no user input has been received during the waiting period. The processor may release computing resources corresponding to the process.

Abstract: The present disclosure relates generally to systems and methods for delivering personalized content to a customer. More specifically, the present disclosure relates to systems and methods for providing notifications related to the needs of a customer. A content management system may determine the needs of a customer as they relate to relevant products and/or services offered by one or more business entities, determine and prioritize actions that may fulfill these needs, and deliver personalized content to the customer based on the customer's information. Accordingly, the systems and techniques provided herein may improve the efficiency and reduce the time involved with delivering effective content to a customer.

Abstract: The present disclosure provides an electronic device. The electronic device includes at least two camera modules, a motion sensor, and a control circuit configured to determine whether a first camera module of the at least two camera modules is activated, and when it is determined that the first camera module of the at least two camera modules is activated, control optical image stabilization of the first camera module using a signal received from the motion sensor.

Abstract: The disclosure relates to technology for preventing a drop event for a mobile device. Sensor data is collected from the mobile device using one or more sensors to determine a pattern and/or current behavior of a user. A potential drop event risk of the mobile device is then determined based on the pattern and/or the current behavior of the user, and a notification is sent to the user of the mobile device indicating the potential drop risk when the pattern and/or the current behavior of the user is determined to satisfy a threshold risk level.

Abstract: In one example, a segment of media content, a predefined maximum bitrate, and a predefined maximum quality measure may be received. K-NN having similar bitrate and quality data to the segment of media content may be determined using a trained k-nearest neighbor model. The K-NN are determined from a training set of media content segments. Further, at least one content adaptive encoding parameter for the segment of media content may be determined within the predefined maximum bitrate and the predefined maximum quality measure using the determined k-nearest neighbor. The at least one content adaptive encoding parameter is inputted to an encoder to encode the segment of media content.

Abstract: Aspects of the subject disclosure may include, for example, a method for determining a first set of features in first images of first media content, generating a similarity score by processing the first set of features with a favorability model derived by identifying generative features and discriminative features of second media content that is favored by a viewer, and providing the similarity score to a network for predicting a response by the viewer to the first media content. Other embodiments are disclosed.

Abstract: A system and a method are disclosed for detecting an unacceptable HTTP requests by scanning the headers of the HTTP requests.

Abstract: Systems and methods for triggering generation of an alert for delivery to a remote device are disclosed herein. The system can include memory having: a user profile database; and a content library database. The system can include a recipient user device having: a network interface; and a recipient I/O subsystem; and the system can include a supervisor device having: a network interface; and a supervisor I/O subsystem. The system can include a content management server that can: direct the generation of a placement interface in the graphical user interface by the recipient I/O subsystem; direct the generation of a presentation interface; direct the generation of a coupling interface at each of the recipient user device and the supervisor user device; and generate and send an alert to the recipient user device and the supervisor device.