Abstract: Examples of the present disclosure describe systems and methods for determining relationships between content items to create a visualization associated with the various content items. The visualization may provide information regarding what various individuals in a group, team, or organization have been working on (e.g., content, documents, projects).

Abstract: Examples of the present disclosure describe systems and methods for determining relationships between content items to create a visualization associated with the various content items. The visualization may provide information regarding what various individuals in a group, team, or organization have been working on (e.g., content, documents, projects).

Abstract: Examples of the present disclosure describe systems and methods for determining authoritative documents based on implicit interlinking and communication signals. In aspects, a search operation may be initiated from one or more applications or services. The search operation may be processed to identify search information, such as one or more content items, content topics, or entities. The identified search information may be used to search one or more data sources for implicit relationships between the search information and content items and/or entities stored by the data sources. The results of the search may be collected and ranked according to one or more criteria. The ranked results may be provided in response to the search operation.

Abstract: Aspects of the technology described herein leverage usage data of content items to facilitate returning search results relevant to a user's intent. A search engine enables a user to select from one of three filter options: a first filter option for the user's own content items, a second filter option for content items previously accessed by the user, and a third filter option for content items new to the user. In response to selection of one of the filter options, the search engine identifies and returns search results based at least in part on correspondence between usage data for content items and the selected filter option. In some aspects, the search engine may automatically select one of the filter options based on search context and provide the selected filter option as a filter suggestion.

Abstract: A file usage recorder program that is executed on a processor is disclosed. The file usage recorder program may be configured to determine usage data for a plurality of files stored in a file system. The usage data may include, for each file, a plurality of usage instances by one or more users. The file usage recorder program may further be configured to classify each of the plurality of files as being in one of a plurality of predetermined usage states, based on the determined usage data. The file usage recorder program may further be configured to generate a usage index indicating the usage state of each of the plurality of files, and output the usage index for use by a software program.

Abstract: Examples of the present disclosure describe systems and methods for analyzing data items and relationships between those data items to create a time-based visualization of what particular individuals are working on and/or with whom particular individuals are working. The visualization may provide a brief summary of projects associated with the individual for a particular period of time.

Abstract: Examples of the present disclosure describe systems and methods for determining authoritative documents based on implicit interlinking and communication signals. In aspects, a search operation may be initiated from one or more applications or services. The search operation may be processed to identify search information, such as one or more content items, content topics, or entities. The identified search information may be used to search one or more data sources for implicit relationships between the search information and content items and/or entities stored by the data sources. The results of the search may be collected and ranked according to one or more criteria. The ranked results may be provided in response to the search operation.

Abstract: Examples of the present disclosure describe systems and methods for leveraging interlinking between resources to determine shared knowledge. In aspects, user interaction with one or more applications or services may be detected. User input associated with the user interaction may be processed to identify information, such as one or more content items, content topics, or entities. The identified information may be used to search one or more data sources for relationships between the identified information and content items, topics, and/or entities stored by the data sources. The results of the search may be collected and/or evaluated to identify the knowledge level of one or more entities with one or more topics. Based on the evaluation, an indication of the identified knowledge level(s) may be provided.

Abstract: Examples of the present disclosure describe systems and methods for determining relationships between content items to create a visualization associated with the various content items. The visualization may provide information regarding what various individuals in a group, team, or organization have been working on (e.g., content, documents, projects).

Abstract: A file usage recorder program that is executed on a processor is disclosed. The file usage recorder program may be configured to determine usage data for a plurality of files stored in a file system. The usage data may include, for each file, a plurality of usage instances by one or more users. The file usage recorder program may further be configured to classify each of the plurality of files as being in one of a plurality of predetermined usage states, based on the determined usage data. The file usage recorder program may further be configured to generate a usage index indicating the usage state of each of the plurality of files, and output the usage index for use by a software program.