A device maintenance support system proposes, among a plurality of devices installed, a maintenance target device and a maintenance timing. The device maintenance support system includes an information acquisition unit and a running cost prediction unit. The information acquisition unit acquires, from the devices, device identification information and device information including parameters that change according to performance deterioration of components of the devices. The running cost prediction unit predicts an increase in a running cost due to the performance deterioration of components of the devices. Among combinations of the devices on which maintenance may be performed and the maintenance timing, the maintenance target device and the maintenance timing thereof for which a total cost is lowest are proposed. The total cost is a sum of the increase in the running cost of all the devices and the maintenance cost incurred for the maintenance target device.

A device maintenance support system proposes, among a plurality of devices installed, a maintenance target device and a maintenance timing. The device maintenance support system includes an information acquisition unit and a running cost prediction unit. The information acquisition unit acquires, from the devices, device identification information and device information including parameters that change according to performance deterioration of components of the devices. The running cost prediction unit predicts an increase in a running cost due to the performance deterioration of components of the devices. Among combinations of the devices on which maintenance may be performed and the maintenance timing, the maintenance target device and the maintenance timing thereof for which a total cost is lowest are proposed. The total cost is a sum of the increase in the running cost of all the devices and the maintenance cost incurred for the maintenance target device.

Systems and methods for forming collaboration recommendations. Techniques for forming event-based recommendations use time-decayed event values. A shared content management system supports a plurality of users that generate events by interacting with content objects of the shared content management system. Events over the content objects are captured as event objects. Method steps are invoked upon receiving event objects that describes user-to-object interaction events that arise from interactions by users over content objects. Different types of interactions carry different importance values. The importance values can be applied as weights when scoring user-to-object interaction activities. The importance can decay over time. As time progresses and as the importance of older interactions decay, score components of a user-to-object interaction can be updated based at least in part on a time decay function. The system emits collaboration recommendations based on the decayed user-to-user collaboration scores.

Systems and methods for presenting relevant collaboration activity to a collaboration system user. A method embodiment commences upon identifying user events that correspond to interactions between a plurality of users and collaboration objects. The interactions that had been performed and the collaboration objects are both associated with permissions attributes. The interactions are recorded as event records that include aspects of the permissions attributes. When a user opens a user interface, a set of event records is selected based at least in part on the permissions attributes with respect to the user. The selected set of event records are then used to generate a set of user-specific feed entries corresponding to particular individual ones of the set of event records. Characteristics of the individual event records and/or aggregations of event records are used to prepare user-specific feed entries that are presented in a user interface of a user device.

The invention relates to a method for generating dynamic information content of a people transport system. The method comprises: receiving an information content request from a terminal device, obtaining status information representing the current status of at least part of the people transport system from a server system, generating a document map comprising references to one or more information content topics based at least on the obtained status information, retrieving the one or more information content topics referred in the document map, generating the dynamic information content based on the retrieved one or more information content topics from the server system, and providing the generated dynamic information content to the terminal device. The invention relates also to a computing unit, a system, and a computer program.

Information defining a plurality of states, a plurality of transitions, an initial state, and a final state is received from a user. The user may also provide additional information including pre-conditions and post-conditions for one or more transitions. Context information including one or more context variables and context variable values is generated based on the information provided by the user. A first plurality of possible paths between the initial state and the final state is automatically identified, wherein each path traverses at least one state and at least one transition. A second plurality of paths is identified from among the plurality of paths, based on the context information and the pre-conditions defined by the user. A Q-value is determined for each path in the second plurality of paths, using the rewards. A path having a highest Q-value is selected and presented to the user as a BPM. An acceptance or rejection of the proposed BPM is received from the user. Reward values associated with transitions in the selected path are updated, if the user accepts the proposed BPM.

An industrial work order analysis system applies statistical and machine learning analytics to both open and closed work orders to identify problems and abnormalities that could impact manufacturing and maintenance operations. The analysis system applies algorithms to learn normal maintenance behaviors or characteristics for different types of maintenance tasks and to flag abnormal maintenance behaviors that deviate significantly from normal maintenance procedures. Based on this analysis, embodiments of the work order analysis system can identify unnecessarily costly maintenance procedures or practices, as well as predict asset failures and offer enterprise-specific recommendations intended to reduce machine downtime and optimize the maintenance process.

In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

Disclosed herein is a method for facilitating generation of a carbon offset based on processing of a recyclable item. Accordingly, the method may include receiving, using a communication device, transportation data associated with transportation of at least one recyclable item from at least one first device. Further, the method may include analyzing, using a processing device, the transportation data. Further, the method may include determining, using the processing device, a carbon value associated with the transportation of the at least one recyclable item based on the analyzing. Further, the method may include generating, using the processing device, a net CO.sub.2e offset associated with the at least one recyclable item based on the carbon value. Further, the method may include storing, using a storage device, the net CO.sub.2e offset associated with the at least one recyclable item in a distributed ledger.