Abstract:
In one embodiment, a method includes receiving a search query for multimedia objects of an online social network from a user of the online social network; searching an index of multimedia objects to identify multimedia objects indexed with keywords that match n-grams of the search query, the keywords having been extracted from reshares associated with the multimedia objects; calculating an object-score for each identified multimedia object based on social signals; generating search results with references to the identified multimedia objects that have an object-score greater than a threshold object-score; and sending to the user one or more of the search results as part of a search-results page.
Abstract:
An online system provides video recommendations to a target user of the online system as a supplement to videos provided to the target user that were posted by the user's connections in the online system. The recommended videos are selected from publicly available video content and are likely to be of interest to the target user. The online system has video candidate generators that select video candidates based on a variety of selection criteria. The selected video candidates are filtered to identify inappropriate content or videos that the target user has already viewed for elimination from candidacy. The filtered video candidates are ranked based on weights of features of the video candidates. Based on the ranking, the online system selects videos above a threshold as recommendations to the target 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:
In one embodiment, a method includes receiving a search query for multimedia objects of an online social network from a user of the online social network; searching an index of multimedia objects to identify multimedia objects indexed with keywords that match n-grams of the search query, the keywords having been extracted from reshares associated with the multimedia objects; calculating an object-score for each identified multimedia object based on social signals; generating search results with references to the identified multimedia objects that have an object-score greater than a threshold object-score; and sending to the user one or more of the search results as part of a search-results page.