Abstract:
News feed stories are ranked so that new stories appear above previously viewed stories for users of a social networking system. Top news stories are selected by the social networking system based on a ranking algorithm that incorporates an analysis of affinities for interests, users, and entities in the social networking system based on user interactions. Other new stories are provided after the top new stories in a chronological order. For each user of the social networking system, a view state is recorded that includes the order of news feed stories provided to users. Based on the view state and received user input, the social networking system may determine whether to provide new news feed stories to a viewing user.
Abstract:
A system transmits selected news feed stories to a client device in advance of receiving a request for news feed stories. As a result, stories are immediately available for viewing when a user interacts with the system. The system selects news feed stories to push based on criteria such as a likelihood that a user will interact with a story and the sizes of pushed stories. For example, the system selects news feed stories such that a total size of stories selected does not exceed a threshold value based on local memory at the client device. The system may determine a scheduled time at which the stories are selected and pushed. The scheduled time is based on factors including patterns of network connection speed or past user interactions, for example, a time range of the day during which the user most frequently viewed pushed stories.
Abstract:
A social networking system selects and presents content items to a user via a feed. Additionally, the social networking system predicts heights associated with various content items, such as content items selected for presentation via the feed. Characteristics of a content item (e.g., a type of content included in the content item, a language of the content item, and a number of comments associated with the content item) as well as characteristics of a client device associated with the user are used to predict a height associated with the content item. When selecting content items for presentation to the user, the social networking system accounts for the predicted heights of various content items to increase the likelihood of the user interacting with content items presented via the feed.
Abstract:
A social networking system generates a newsfeed for a user to view when accessing the social networking system. Candidate stories associated with users of the social networking system are selected and an expected value score for each candidate story is determined. An expected value score is based on the probability of a user performing various types of interactions with a candidate story and a numerical value for each type of interaction. The numerical value for a type of interaction represents a value to the social networking system of the type of interaction. Based on the expected value scores, the candidate stories are ranked and the ranking used to select candidate stories for the newsfeed.
Abstract:
A social networking system dynamically adjusts a number of advertisements presented to a user along with organic content items by modifying a minimum bid amount associated with advertisements eligible for presentation to the user. Increasing the minimum bid amount decreases the number of advertisements presented to the user while decreasing the minimum bid amount increases the number of advertisements presented to the user. An engagement score measuring the user's estimated interaction with a content feed including organic content items without advertisements and an engagement score measuring the user's estimated interaction with a content feed including organic content items and advertisements are determined. A target score is determined based on the engagement scores, and a difference between the target score and a threshold value is used to modify a minimum price of advertisements eligible for presentation to the user.
Abstract:
A social networking system generates a newsfeed for a user to view when accessing the social networking system. Candidate stories associated with users of the social networking system are selected and an expected value score for each candidate story is determined. An expected value score is based on the probability of a user performing various types of interactions with a candidate story and a numerical value for each type of interaction. The numerical value for a type of interaction represents a value to the social networking system of the type of interaction. Based on the expected value scores, the candidate stories are ranked and the ranking used to select candidate stories for the newsfeed.
Abstract:
A social networking system dynamically adjusts a number of advertisements presented to a user along with organic content items by modifying a minimum bid amount associated with advertisements eligible for presentation to the user. Increasing the minimum bid amount decreases the number of advertisements presented to the user while decreasing the minimum bid amount increases the number of advertisements presented to the user. An engagement score measuring the user's estimated interaction with a content feed including organic content items without advertisements and an engagement score measuring the user's estimated interaction with a content feed including organic content items and advertisements are determined. A target score is determined based on the engagement scores, and a difference between the target score and a threshold value is used to modify a minimum price of advertisements eligible for presentation to the user.
Abstract:
News feed stories are ranked so that new stories appear above previously viewed stories for users of a social networking system. Top news stories are selected by the social networking system based on a ranking algorithm that incorporates an analysis of affinities for interests, users, and entities in the social networking system based on user interactions. Other new stories are provided after the top new stories in a chronological order. For each user of the social networking system, a view state is recorded that includes the order of news feed stories provided to users. Based on the view state and received user input, the social networking system may determine whether to provide new news feed stories to a viewing user.
Abstract:
Systems, methods, and non-transitory computer readable media configured to create objects associated with links to content items shared within a social networking system, the content items from content sources. Content sources having pages on the social networking system fanned by a user are determined. Objects associated with (links to) content items from the content sources having content source representations, such as pages, on the social networking system fanned by the user are collected. An aggregate score for a collected object associated with a link is determined based on popularity of a content item associated with the link within the social networking system and interest of the user in the content item. The collected object associated with the link is provided to be ranked for potential presentation of the link to the user based on satisfaction of a threshold.
Abstract:
In one embodiment, a method includes accessing a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each node corresponding to a user of an online social network, identifying a plurality of clusters in the social graph using graph clustering, providing a treatment to a first set of users based on the clusters, and determining a treatment effect treatment for the users in the first set based on a network exposure to the treatment for each user.