Reusability of deployment plans and dependencies thereof. A method defines contracts as between multiple deployment plans, the contracts representing dependencies between them; defines wait task(s) in a first set of the deployment plans, a wait task being associated with a contract and completion of the wait task and progression of a deployment plan in which the wait task is defined being dependent on satisfaction of the contract; defines signal task(s) in a second set of the deployment plans, satisfaction of the contract being based on status of signal task(s); selects a collection of deployment plans for concurrent execution, at least one contract of the contracts representing at least one dependency between the collection; and manages the concurrent execution of the collection. Managing controls progression of the execution by enforcing the at least one contract, which enforces the at least one dependency between the collection in the execution of the collection.

Synthesizing a control object for a computing event, the control object for securing a computing resource based on a set of access and privilege information provided through a set of mediated associations that are represented by an enchained set of certificates, portions of which are encrypted including entity-specific paths to entity-specific predecessor certificates and partial decryption keys therefor, wherein the control object is applied to secure the computing resource for performing a computing action indicated by a process-type entity identified in the certificate for the control object.

Synthesizing a control object for a computing event, the control object for securing a computing resource based on a set of access and privilege information provided through a set of mediated associations that are represented by an enchained set of certificates, portions of which are encrypted including entity-specific paths to entity-specific predecessor certificates and partial decryption keys therefor, wherein the control object is applied to secure the computing resource for performing a computing action indicated by a process-type entity identified in the certificate for the control object.

An information processing apparatus includes a specifying unit and an output unit. The specifying unit specifies, in a case where multiple pieces of first and second information have been accumulated, each piece of first information indicating a document and an order of processes of a certain operation performed on the document and a corresponding piece of second information indicating a result of the certain operation in terms of multiple items, either of the multiple items on the basis of an operation performed by a user. The output unit outputs a piece of first information corresponding to a piece of second information for which the result of the certain operation meets a condition in terms of the specified item among the multiple pieces of first and second information.

Systems, methods, and non-transitory computer-readable media according to certain aspects can receive at least one message sent by a user of a social networking system to a page provided by the social networking system, where the page is associated with an entity. A training data set including a plurality of messages can be determined, and the training data set can indicate an intent classification for each of the plurality of messages. The intent classification can be indicative of an intent associated with a particular message. A machine learning model may be trained based at least in part on the training data set. A first intent classification for the at least one message can be determined, based at least in part on the machine learning model.

Training prediction models and applying machine learning prediction to data is illustrated herein. A prediction instance comprising a set of data and metadata associated with the set of data identifying a prediction type is obtained. The data and metadata are used to determine an entity to train a prediction model using the prediction type. A trained prediction model is obtained from the entity. A notification system may be configured to react to monitor contextual information and apply the prediction. A workflow system may automatically perform a function in a workflow based on prediction.

A maintenance system is provided for an environment conditioning element of an environmental control system (ECS) of a vehicle. The system includes a data collection module configured to receive geographical areas of travel for the vehicle over respective periods of time. The data collection module is configured to determine a pollution value and a time value for each of the geographic areas of travel. The system further includes a pollution count module coupled to the data collection module and receiving the pollution values and the time values. The pollution count module is configured to determine a pollution count for the environment conditioning element based on the pollution values and the time values. The system further includes a reporting module coupled to the pollution count module and receiving the pollution count. The reporting module is configured to generate a report for a user that includes the pollution count.

In an example embodiment, a screening question-based online screening mechanism is provided to assess job applicants automatically. More specifically, job-specific questions are automatically generated and asked to applicants to assess the applicants using the answers they provide. Answers to these questions are more recent than facts contained in a user profile and thus are more reliable measures of an appropriateness of an applicant's skills for a particular job.

Described herein is a system and method for predicting when repair and maintenance needs to be performed on a vehicle. The estimates can be based on one or more of in-vehicle sensor measurements during vehicle usage, external observations such as weather and traffic and road conditions and manually or digitally input maintenance and service reports. The gathered information is compared to information in a database from historical maintenance and service and the resulting damage and costs for those. The information is classified by the type of vehicle and the age and usage of the vehicle. Maintaining and refreshing the information and predictive models in the system is also part of the invention.

Described herein is a system and method for predicting when repair and maintenance needs to be performed on a vehicle. The estimates can be based on one or more of in-vehicle sensor measurements during vehicle usage, external observations such as weather and traffic and road conditions and manually or digitally input maintenance and service reports. The gathered information is compared to information in a database from historical maintenance and service and the resulting damage and costs for those. The information is classified by the type of vehicle and the age and usage of the vehicle. Maintaining and refreshing the information and predictive models in the system is also part of the invention.