Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating, arranging, and providing subgroupings of content items according to content attributes and dynamic facets. For example, the disclosed systems generate dynamic facets reflecting content attributes, where the dynamic facets are selectable interface elements for arranging content items into subgroups. In certain cases, as part of generating a subgrouping of content items, the disclosed systems can identify portions of content items (e.g., segments of a digital video or sections of a digital document) that correspond to a dynamic facet. The disclosed systems can also provide filtering options for creating or refining subgroupings from a content collection by, for example, filtering according to recency criteria such as file type, recency of interaction, collaborative user accounts, or others.

Abstract: The present technology addresses a need for a task service that can aggregate tasks assigned to a user on different services so that all tasks that the user needs to perform can be found in one location. The present technology can utilize credentials to a user account associated with a user of a service to automatically identify tasks that are relevant to the user and can create those tasks in a task service. The task service can maintain a link back to the source of the task so that the user can mark the task as complete in the task service, and the task service can automatically update the task in the service in which the task was created. The present technology can also provide integrations with some services to a user to create new tasks from services that are not task based, such as email.

Abstract: Examples of comparing real-time movements to a pattern profile are disclosed. In one example implementation according to aspects of the present disclosure, a method may include receiving, by a computing system, a data stream indicative of real-time movements of a mobile device. The method may further include comparing, by the computing system, the data stream indicative of real-time movements of the mobile device to a pattern profile for the mobile device to determine whether an abnormality occurs in the movement of the mobile device based on a pattern profile, wherein the pattern profile is indicative of historical usage patterns of the movements of the mobile device. The method may also include triggering, by the computing system, an authentication event when an abnormality is determined to occur.

Abstract: Examples of comparing real-time movements to a pattern profile are disclosed. In one example implementation according to aspects of the present disclosure, a method may include receiving, by a computing system, a data stream indicative of real-time movements of a mobile device. The method may further include comparing, by the computing system, the data stream indicative of real-time movements of the mobile device to a pattern profile for the mobile device to determine whether an abnormality occurs in the movement of the mobile device based on a pattern profile, wherein the pattern profile is indicative of historical usage patterns of the movements of the mobile device. The method may also include triggering, by the computing system, an authentication event when an abnormality is determined to occur.

Abstract: Managing a sensory factor for an environment includes identifying a plurality of individuals expected to be present in an environment at a future time. Preference data for the plurality of individuals is accessed. The preference data for each individual includes a preferred setting value. The preference data for the identified plurality of individuals is processed to identify a setting for the sensory factor. The setting satisfies a rule applied to the preference data. The rule includes averaging such that the setting represents, at least in part, an average of the preferred setting values of the plurality of individuals. The setting is applied to modify the sensory factor from a current state to a desired state before the individuals are schedule to be present.

Abstract: In one example of the disclosure, a current meeting invitation to a user is accessed. There is a current timing conflict between the current invitation and a subject calendar event of the user. A relevant behavior is identified. The relevant behavior is with respect to a previous meeting invitation sent to the user, the previous invitation having a conflict with a calendar event and a common invitation attribute with the current invitation. A management action is applied, in consideration of the relevant behavior, to the current timing conflict.

Abstract: Example implementations relate to contextually searching for documents. A server may be communicatively coupled to a plurality of storage services. Contextual metadata associated with documents stored using the plurality of storage services may be stored on the server. In response to a contextual query, the plurality of storage services may be searched to identify documents relevant to the contextual query. Relevance of documents to the contextual query may be determined based on the contextual metadata stored on the server.

Abstract: Example embodiments relate to associating event templates with event objects. In some examples, a scheduling server may create an event object that provides information about an event. The scheduling server may receive input from a client device to select an event template that includes defined content, for example, non-logistical content. The scheduling server may associate the selected event template with the event object, thereby causing at least part of the defined content of the selected event template to be displayable when users access the event object.