Abstract: A time series forecasting system is disclosed that obtains a time series forecast request requesting a forecast for a particular time point. The forecast request identifies a primary time series dataset for generating the requested forecast and a set of features related to the primary time series dataset. The system provides the primary time series dataset and the set of features to a model to be used for generating the forecast. The model computes a feature importance score for one or more features and selects a subset of features based on their feature importance scores. The model determines attention scores for a set of data points in the primary time series dataset based on the selected subset of features. The system predicts an actual forecast for the particular time point based on the attention scores and outputs the actual forecast and explanation information associated with the actual forecast.

Abstract: A computing device may access a graph comprising one or more model nodes, one or more dataset nodes, and one or more edges, the model nodes having a plurality of features. The device may add one or more test dataset nodes and test edges to the graph. The device may perform a series of iterative steps until a threshold is reached. For each iterative step: a selection probability is determined, the selection probability being based at least in part on a plurality of selection criteria; a particular model node is selected, the particular model node being selected based at least in part on the selection probability; the selection criteria is updated based at least in part on the particular model; and the plurality of features are updated based at least in part on the particular model. The device may provide the particular model node selected in the last iterative step.

Abstract: In many computing scenarios, an individual may choose to interact with a service in a variety of roles, and may therefore create a set of accounts respectively representing the service. However, the use of multiple accounts by the same individual may introduce considerable administrative complications (e.g., failing to update all accounts with new information results in stale and/or conflicting account information), and may reduce the efficiency and/or scalability of the service. Presented herein are techniques for enabling individuals to interact with services through various roles. Such techniques involve evaluating the individual's role determinants to identify and automatically select the individual's current role; selecting a current role profile, as a subset of the details of the individual profile that are associated with the current role, and excluding details that are not associated with the current role; and performing the service according to the current role profile of the individual.

Abstract: In many computing scenarios, an individual may choose to interact with a service in a variety of roles, and may therefore create a set of accounts respectively representing the service. However, the use of multiple accounts by the same individual may introduce considerable administrative complications (e.g., failing to update all accounts with new information results in stale and/or conflicting account information), and may reduce the efficiency and/or scalability of the service. Presented herein are techniques for enabling individuals to interact with services through various roles. Such techniques involve evaluating the individual's role determinants to identify and automatically select the individual's current role; selecting a current role profile, as a subset of the details of the individual profile that are associated with the current role, and excluding details that are not associated with the current role; and performing the service according to the current role profile of the individual.

Abstract: In many computing scenarios, an individual may interact with a device in a variety of roles, such as a student, an intern, and a gamer. While the individual may utilize the device in different ways for each role (e.g., using a particular set of files, applications, websites, and services), the device is not typically informed of the individual's role, and provides generalized device behavior irrespective of the individual's role. Presented herein are techniques for adapting device behavior based on the current role of the individual. Such techniques involve evaluating the individual's role determinants to identify and automatically select the individual's current role; selecting a current role profile, as a subset of the details of the individual profile that are associated with the current role, and excluding details that are not associated with the current role; and adjusting the device behavior according to the current role profile of the individual.

Abstract: One or more techniques and/or systems are provided for providing an answer scheme for an information request. For example a requester user may submit an information request seeking an informational answer (e.g., how far is the moon from the Earth; what are fun Cancun activities; is my drawing an accurate octagon; etc.). The information request may be evaluated to identify an information request property (e.g., an interesting property, a factual question property, an opinion property, an expertise level property, etc.). An answerer pool and/or an interaction type may be identified based upon the information request property (e.g., a chat group of scientists, a onetime text message answer from a paid expert, a vacation forum, a screen sharing session, etc.). An answer scheme, comprising the answerer pool and/or the interaction type, may be provided to the requester user for obtaining the informational answer.