Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for providing shared content collections. The program and method provide for receiving, from a first device of a first user, an indication of first user input to share a content collection between the first user and a second user selected by the first user, the content collection comprising at least one media content item, the second user corresponding to a contact of the first user; storing the content collection in association with the first user and the second user; receiving an indication of second user input to share the content collection with a third user selected by the second user, the third user corresponding to a contact of the second user; and associating the content collection with the third user.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining breakpoints in a media item. Methods can include determining a candidate set of breakpoints within a media item. A machine learning model is used to generate a score for each particular candidate breakpoint in the set of candidate breakpoints based on presentation features of the media item. A subset of candidate breakpoints is selected from the set of candidate breakpoints based on the score. A final set of breakpoints is selected from the subset of candidate breakpoints based on a combination of the score for each particular candidate breakpoint and a location of the particular candidate breakpoint relative to a different candidate breakpoint. The final set of breakpoints is stored in a database and during playback of the media item, a digital component is presented when the media item reaches a stored breakpoint.

A method is provided to produce a custom calendar user interface (UI) display on an electronic device display screen comprising: providing a search query to a user device; sending the search query over the network to a server system; receiving over the network by one or more user devices from a server system, information that identifies one or more code objects that match the search query; using the identified one or more identified code objects by the one or more user devices to generate one or more visual content items within a calendar user interface (UI) grid display on their device display screens.

Some embodiments improve object accessibility within a user interface based on a set of access patterns associated with the object. Improving accessibility for an object may include positioning a shortcut for the object to allow for quick access to the object. Another example includes executing commands to traverse a user interface, without receiving user input, to display a screen for accessing the object. Another example includes establishing a connection for accessing the object prior to receiving a request to access the object. A trigger for improving the accessibility for the object may be programmed based on a set of conditions detected when the object was previously accessed. Thereafter, detection of the same set of conditions triggers an improvement in the accessibility for the object. When the set of conditions corresponding to the trigger is no longer detected, the system may revert back to the default accessibility for the object.

Examples of the present disclosure describe an enhanced content sharing platform. In aspects, the enhanced content sharing platform provides an interface enabling users to search for and navigate content. The interface may comprise various interface elements for searching, navigating, and/or interacting with content accessible to the enhanced content sharing platform. At least one of the interface elements may be a mode selection interface element. The mode selection interface element may be configured to select and toggle between various content domains available to the enhanced content sharing platform. Each content domain may be associated with a corresponding set of interface elements, and may meaningfully limit content search results to the content domain in which the content was searched. Additionally, new and/or subsequent content searches may be executed in the current selected content domain without requiring a manual (re)selection of that content domain.

Computer systems and methods of spatially-indexing agricultural content involve inputting agricultural content comprising spatial data and spatially-indexing the agricultural are disclosed herein. In an example, the computer systems and methods involve identifying from the spatial data a set of geospatial boundaries for the agricultural content. The computer systems and methods also involve indexing the agricultural content to the identified geospatial boundaries. The computer systems and methods further involve cross-referencing the indexed agricultural data with a plurality of sets of geospatial boundaries for a plurality of fields. The computer systems and methods additionally involve indexing the agricultural content to one or more of the plurality of fields when the cross-referencing identifies an overlap between the geospatial boundaries of the indexed agricultural data and one or more of the geospatial boundaries of the plurality of fields.

Systems and methods for responding to a subscriber's text-based request for content items are presented. In response to a request from a subscriber, word pieces are generated from the text-based terms of the request. A request embedding vector of the word pieces is obtained from a trained machine learning model. Using the request embedding vector, a set of content items, from a corpus of content items, is identified. At least some content items of the set of content items are returned to the subscriber in response to the text-based request for content items.

A data processing device includes visualization component(s) of an option group and at least one chart component. The option group includes a first option and a second option. The at least one chart component has a subscription relationship with the first option of the option group. The at least one chart component is configured to display first chart(s) belonging to the at least one chart component in response to operation of selecting the first option. The at least one chart component has a subscription relationship with the second option of the option group. The at least one chart component is further configured to display second chart(s) belonging to the at least one chart component in response to operation of selecting the second option.

In one embodiment, a method includes, by a client system of a user of an online social network, sending, to one or more computing devices of the online social network, a text post inputted by the user. The text post is associated with a query. The method includes receiving, from the one or more computing devices in response to the text post, an initial recommendation list. The initial recommendation list includes references to one or more objects referenced in comments associated with one or more prior posts associated with the query. The method includes sending, to the one or more computing devices, a request for updates to the initial recommendation list. Moreover, the method includes receiving, from the one or more computing devices in response to the request, an updated recommendation list comprising references to one or more objects referenced in comments associated with the text post.

The present disclosure relates to generating a complex entity index based on a combination of atomic and deep learned attributes associated with instances of a complex entity. For example, systems described herein generate a multi-dimensional representation of entity instances based on evaluation of digital content associated with the respective entity instances. Systems described herein further generate an index representation in which similarity of entity instances are illustrated and presented via an interactive presentation that enables a user to traverse instances of an entity to observe similarities and differences between instances of an entity that have similar embeddings to one another within a multi-dimensional index space.