Abstract: A collaboration database service may allow users to create, edit, and share collaborative content on custom databases, and may also integrate and interoperate with various productivity applications. For example, a collaboration database engine of the service may detect creation or modification of a table through an application associated with the service. In response to a request to add a choice type column to the table, the engine may automatically select, provide, and enable modification of a set of symbols and associated text values corresponding to choices. The engine may then provide the choice type column for display within the table such that each cell of the choice type column is automatically and/or manually populated with at least one of the choices. The choice may be represented by a symbol and/or associated text value from the modified set of symbols and associated text values corresponding to the choice.

Abstract: A collaboration database service may allow users to create, edit, and share collaborative content on custom databases, and may also integrate and interoperate with various productivity applications. For example, a collaboration database engine of the service may detect creation or modification of a table through an application associated with the service. In response to a request to add a choice type column to the table, the engine may automatically select, provide, and enable modification of a set of symbols and associated text values corresponding to choices. The engine may then provide the choice type column for display within the table such that each cell of the choice type column is automatically and/or manually populated with at least one of the choices. The choice may be represented by a symbol and/or associated text value from the modified set of symbols and associated text values corresponding to the choice.

Abstract: Relevant files are determined for a user upon detecting a user action such as save, load, open, view, share, or comparable ones associated with a file. The relevancy may be determined through one or more queries based on, a number of criteria, where the queries are executed on local or remote data stores related to the user. For example, files on the local computing device of the user, files in an enterprise network associated with the user, files on a social network subscribed by the user may be evaluated for various relevancy criteria. Files determined to be relevant may be prioritized, ordered, and/or grouped for suggestion to the user and presented through a user interface of an application performing the detected action.