Abstract: Examples of the present disclosure describe systems and methods relating to hierarchical contextual search suggestions. In an example, search suggestions may be provided to a user searching for content of a content management platform. In some examples, the content management platform may manage hierarchical content, such that search suggestions provided to the user for a search query may be associated with content at a level of the hierarchical content accessed by the user. If there is not a sufficient number of search suggestions to provide to the user at the current level of the hierarchy, additional and/or alternative search suggestions may be generated for the user based on content from a different level of the hierarchy. As a result, the user may continue to receive relevant search suggestions, while reducing the amount of computing overhead and analysis used to generate such search suggestions.

Abstract: Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.

Abstract: Relevance based dynamic navigation is provided. A communication application searches communications to identify hashtags associated with the communications. A relevance score is computed for each hashtag based on a relevance criteria associated with the hashtags. The hashtags are ranked based on the relevance score. Next, the ranked hashtags are presented in a navigation user interface.

Abstract: Examples of the present disclosure describe systems and methods relating to hierarchical contextual search suggestions. In an example, search suggestions may be provided to a user searching for content of a content management platform. In some examples, the content management platform may manage hierarchical content, such that search suggestions provided to the user for a search query may be associated with content at a level of the hierarchical content accessed by the user. If there is not a sufficient number of search suggestions to provide to the user at the current level of the hierarchy, additional and/or alternative search suggestions may be generated for the user based on content from a different level of the hierarchy. As a result, the user may continue to receive relevant search suggestions, while reducing the amount of computing overhead and analysis used to generate such search suggestions.

Abstract: Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.

Abstract: Relevance based dynamic hashtag navigation is provided. A communication application searches communications to identify hashtags associated with the communications. A relevance score is computed for each hashtag based on a relevance criteria associated with the hashtags. The hashtags are ranked based on the relevance score. Next, the ranked hashtags are presented in a navigation user interface.