Abstract: A system can implement an on-demand delivery service for available menu items by generate menu item vectors representing menu items and personal preference vectors representing user preferences in latent space comprising a word corpus of descriptive terms. Based on these vectors or matrices, the system can determine a set of matching menu items for the user, and transmit content data to a computing device of the user, causing the computing device to display the set of matching menu items as recommended selectable items for on-demand delivery. Based on a user selection of one of the available menu items, the system can coordinate on-demand delivery of the selected menu item to the respective user.

Abstract: An online system generates a feed of content items for a user subject to a limitation restricting the number of content items including video data (“video content items”) included in the feed. If the user interacts with a video content item the feed, the online system selects candidate video content items based on characteristics of the video content item in the feed and characteristics of the user. The online system determines likelihoods of the user interacting with various candidate video content items and selects candidate video content items based on the determined likelihoods. To present the user with additional video content items, the online system generates an interface including the selected candidate video content items and presents the interface to the user. The interface may be presented in place of the feed or may be presented as within the feed and presents different video content items based on user interactions.

Abstract: Systems, methods, and non-transitory computer readable media configured to detect access by a user to an original content item relating to a story. At least one of a comments based technique, a token based technique, and a tag based technique is performed on content items. Constraints are applied to identify at least one follow up content item from the content items relating to a development of the story.

Abstract: A system can implement an on-demand delivery service for available menu items by generate menu item vectors representing menu items and personal preference vectors representing user preferences in latent space comprising a word corpus of descriptive terms. Based on these vectors or matrices, the system can determine a set of matching menu items for the user, and transmit content data to a computing device of the user, causing the computing device to display the set of matching menu items as recommended selectable items for on-demand delivery. Based on a user selection of one of the available menu items, the system can coordinate on-demand delivery of the selected menu item to the respective user.

Abstract: An online system generates a feed of content items for a user subject to a limitation restricting the number of content items including video data (“video content items”) included in the feed. If the user interacts with a video content item the feed, the online system selects candidate video content items based on characteristics of the video content item in the feed and characteristics of the user. The online system determines likelihoods of the user interacting with various candidate video content items and selects candidate video content items based on the determined likelihoods. To present the user with additional video content items, the online system generates an interface including the selected candidate video content items and presents the interface to the user. The interface may be presented in place of the feed or may be presented as within the feed and presents different video content items based on user interactions.

Abstract: An online system generates a feed of content items for a user subject to a limitation restricting the number of content items including video data (“video content items”) included in the feed. If the user interacts with a video content item the feed, the online system selects candidate video content items based on characteristics of the video content item in the feed and characteristics of the user. The online system determines likelihoods of the user interacting with various candidate video content items and selects candidate video content items based on the determined likelihoods. To present the user with additional video content items, the online system generates an interface including the selected candidate video content items and presents the interface to the user. The interface may be presented in place of the feed or may be presented as within the feed and presents different video content items based on user interactions.

Abstract: Systems, methods, and non-transitory computer readable media configured to detect access by a user to an original content item relating to a story. At least one of a comments based technique, a token based technique, and a tag based technique is performed on content items. Constraints are applied to identify at least one follow up content item from the content items relating to a development of the story.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a source content item for which related content is to be provided. A set of candidate content items associated with the source content item can be selected. The set of candidate content items can be ranked based, at least in part, on a set of engagement signals associated with the set of candidate content items. A subset of highest ranked candidate content items out of the set of candidate content items can be provided as the related content for the source content item.