Abstract: A candidate virtual team is generated using a team prediction model. The team prediction model is trained based on user feedback. Activity data of a user is collected, the activity data is associated with activities in which the user and a set of other users have engaged. A candidate virtual team associated with the collected activity data is generated using a team prediction model and the candidate virtual team is presented to the user using an interface. User feedback data associated with the generated candidate virtual team is received from the user. The team prediction model is trained using the received user feedback data, whereby accuracy of future generated candidate virtual teams generated by the team prediction model is improved during the training. The training of the team prediction model based on user feedback improves the generation of virtual teams over time.

Abstract: Systems and methods for inferring and contextualizing a stranger on an enterprise platform are provided. The method includes generating a familiarity score between a user and an individual. Based on the generated familiarity score, the individual is determined to be a stranger to the user and a contextualized summary of the stranger is generated. The generated contextualized summary of the stranger is presented to the user in response to an upcoming interaction between the user and the stranger or a detected interaction between the user and the stranger.

Abstract: Techniques are disclosed for assisting users with unknown topics by automatically presenting information associated with the unknown topics to the users. In an example embodiment, an unknown topic is referred to or discussed during a conversation between multiple users. A candidate definition for the topic is determined, where the candidate definition is known by the user that used the topic. Based on a determination that the topic and the candidate definition are unknown to a second user in the conversation, the topic and the candidate definition are provided to one or more output devices for presentation to the second user.

Abstract: The disclosed technology is generally directed to detecting terminology understanding mismatch candidates. In one example of the technology, input content is received. Topics associated with the input content are identified. For each identified topic, topic information that corresponds to the identified topic is obtained. People associated with the input content are identified. For each identified person, person information that corresponds to the identified person is obtained. Based on the obtained topic information and the obtained person information, for each identified person: a level of proficiency of the identified person in each of the identified topics is determined. For each of the identified topics, whether the determined level of proficiency of the identified person meets a threshold that is associated with the identified topic is evaluated. For each determined level of proficiency that does not meet the threshold that is associated with the identified topic, a remedy is suggested.

Abstract: A method for intelligently evaluating sharing readiness of a document stored on a sharing platform includes determining, for each of multiple versions of the document, a deviation metric quantifying similarity of the version with another consecutively-saved version of the document; evaluating the deviation metrics for the document in view of predefined readiness criteria indicative of sharing readiness; and presenting a sharing recommendation on a user interface of the sharing platform responsive to determining that a subset of the deviation metrics for the document satisfy the predefined readiness criteria.

Abstract: Techniques are disclosed for assisting users with unknown topics by automatically presenting information associated with the unknown topics to the users. In an example embodiment, an unknown topic is referred to or discussed during a conversation between multiple users. A candidate definition for the topic is determined, where the candidate definition is known by the user that used the topic. Based on a determination that the topic and the candidate definition are unknown to a second user in the conversation, the topic and the candidate definition are provided to one or more output devices for presentation to the second user.

Abstract: A method and system for intelligently ranking search results may include receiving a search request containing one or more terms for performing a search, providing the one or more terms for conducting a search, and receiving a search results index containing a list of a plurality of documents, each of the plurality of documents corresponding to one of the one or more terms or to one or more other terms associated with the at least one of the one or more terms.

Abstract: Examples of the present disclosure describe systems and methods for notifying users of content creation related to existing content expertise. In examples, content associated with a data domain is evaluated to determine the topics associated with the content. User activity for the data domain is monitored to determine user knowledge levels on various topics. User collaboration circles are determined based on interactions between users. When new content is detected, topics in the new content are evaluated and users having knowledge on the topics are identified based on the determined knowledge levels. The users having knowledge on the topics are ranked based in part on their collaboration circles. At least a portion of the ranked users having knowledge on the topics are notified of the new content creation and/or the users creating the new content are notified of the ranked users having knowledge on the topics.

Abstract: Examples of the present disclosure describe systems and methods for meeting analysis and coaching. In examples, a meeting is monitored to identify meeting content associated with the meeting. The meeting content is analyzed to determine participant content for the participants of the meeting. A knowledge level for topics discussed in the meeting is determined for each participant. A set of policies for the meeting is evaluated to determine whether the set of policies has been satisfied. A set of info including the participant content, the knowledge levels for the participants, the evaluation of the set of policies, and other information is evaluated to generate insights for the participants of the meeting. The insights are provided to the participants of the meeting.

Abstract: Techniques for detecting one or more focus areas of a user and structuring activities and content around the focus area(s) are disclosed. The activities of a user, the people associated with the activities, and/or the content associated with the activities are automatically inferred or detected based on the channels of collaboration associated with the focus area(s). Example channels of collaboration include, but are not limited to, electronic mail, instant messages, documents, and in-person and online meetings. Some or all of the activities, people, and/or content are grouped into one or more focus areas, where a focus area relates to an endeavor in which the user focuses on over a period of time. Some or all of the focus areas are presented to the user.

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: Generating and providing a content feed to a user that surfaces information items that are determined to be interesting or relevant to the user including content that is determined to be “distant” to the user is provided. Explicit user actions are used to discover peers who are not colleagues of the user (e.g., peers with whom the user does not share a close organizational relationship, peers with whom the user does not regularly communicate, etc.), but who the user indicates an interest in via his/her actions. These peers are categorized as elevated peers of the user, and information items associated with and trending around the elevated peers are surfaced to the user in a content feed.

Abstract: A method and system for creating a learning graph may include accessing a general knowledge graph, the general knowledge graph including a plurality of items of information about a plurality of general knowledge topics, extracting a plurality of learning topics, the plurality of learning topics being topics associated with a desired learning curriculum, identifying associations between one or more of the plurality of learning topics and one or more of the plurality of items of information in the general knowledge graph, upon identifying the associations, utilizing the associations to create a learning graph based on at least one of the one or more of the plurality of learning topics, the one or more of the plurality of items of information and the associations between them, the learning graph being a learning knowledge visualization graph, and transmitting the learning graph to a learning application for use in providing the desired learning curriculum.

Abstract: Techniques are disclosed for assisting users with unknown topics by automatically presenting information associated with the unknown topics to the users. In an example embodiment, an unknown topic is referred to or discussed during a conversation between multiple users. A candidate definition for the topic is determined, where the candidate definition is known by the user that used the topic. Based on a determination that the topic and the candidate definition are unknown to a second user in the conversation, the topic and the candidate definition are provided to one or more output devices for presentation to the second user.

Abstract: Techniques for detecting one or more focus areas of a user and structuring activities and content around the focus area(s) are disclosed. The activities of a user, the people associated with the activities, and/or the content associated with the activities are automatically inferred or detected based on the channels of collaboration associated with the focus area(s). Example channels of collaboration include, but are not limited to, electronic mail, instant messages, documents, and in-person and online meetings. Some or all of the activities, people, and/or content are grouped into one or more focus areas, where a focus area relates to an endeavor in which the user focuses on over a period of time. Some or all of the focus areas are presented to the user.

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 method and system for intelligently notifying collaborators of activity on collaborative content include receiving a first indication of a first collaboration activity performed on a first document by a first collaborator among a plurality of first collaborators associated with the first document and responsive to receiving the first indication, obtaining first activity information for the first document comprising the first collaborative activity and one or more second collaborative activities performed on the first document. The method and system determine a lifecycle stage of the first document, analyze the first activity information and the lifecycle stage of the first document to identify one or more second collaborators among the plurality of first collaborators associated with the first document to notify of the first collaborative activity, and provide for displaying the first collaboration activity to the one or more second collaborators.

Abstract: A method and system for intelligently notifying collaborators of activity on collaborative content include receiving a first indication of a first collaboration activity performed on a first document by a first collaborator among a plurality of first collaborators associated with the first document and responsive to receiving the first indication, obtaining first activity information for the first document comprising the first collaborative activity and one or more second collaborative activities performed on the first document. The method and system determine a lifecycle stage of the first document, analyze the first activity information and the lifecycle stage of the first document to identify one or more second collaborators among the plurality of first collaborators associated with the first document to notify of the first collaborative activity, and provide for displaying the first collaboration activity to the one or more second collaborators.