Abstract: Systems, methods, and non-transitory computer-readable media can obtain a plurality of content items that are available to be presented in a content feed of a first user, wherein each content item has a corresponding lifespan that indicates when the content item expires and is no longer available for presentation. A content feed having at least a first content item from the plurality of content items can be provided to a computing device of the first user. A determination can be made that at least one second user has provided feedback for the first content item, the feedback indicating an up-vote or a down-vote of the first content item. The lifespan of the first content item can be adjusted based at least in part on the feedback.

Abstract: In one embodiment, a method includes capturing one or more images of a physical environment surrounding the first user; determining that one or more of the images comprises a face; generating a facial image by cropping a region of the image comprising the face; sending instructions to perform facial recognition on the facial image; receiving a name associated with a second user of the online social network, wherein the face is associated with the second user, wherein the first user is represented by a first node on a social graph maintained by the social-networking system and the second user is represented by a second node on the social graph, and the first node and the second node are connected by at least one edge; and providing an audible indication of the name associated with the second user.

Abstract: Architecture that automatically generate concise descriptions of users in social media. The descriptions communicate classification or category of a given social media user in a small amount of viewing space. The description can be based on available metadata (e.g., user profile biography) and/or other information about that person, as may be obtained from the information data sources (e.g., structured knowledge bases) on networks such as the Internet and enterprises, for example. The descriptions can also be query-dependent, by assuming there is some relationship between the social media user and a query, in which case, the descriptions illustrate that relationship.

Abstract: In one embodiment, a method includes capturing one or more images of a physical environment surrounding the first user; determining that one or more of the images comprises a face; generating a facial image by cropping a region of the image comprising the face; sending instructions to perform facial recognition on the facial image; receiving a name associated with a second user of the online social network, wherein the face is associated with the second user, wherein the first user is represented by a first node on a social graph maintained by the social-networking system and the second user is represented by a second node on the social graph, and the first node and the second node are connected by at least one edge; and providing an audible indication of the name associated with the second user.

Abstract: Systems, methods, and non-transitory computer-readable media can obtain a plurality of content items that are available to be presented in a content feed of a first user, wherein each content item has a corresponding lifespan that indicates when the content item expires and is no longer available for presentation. A content feed having at least a first content item from the plurality of content items can be provided to a computing device of the first user. A determination can be made that at least one second user has provided feedback for the first content item, the feedback indicating an up-vote or a down-vote of the first content item. The lifespan of the first content item can be adjusted based at least in part on the feedback.

Abstract: The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

Abstract: Methods, systems, and computer-readable media are provided for updating a search index with new uniform resource locators (URLs) and with metadata for new and known URLs. Data associated with communications made by users using a social network is received. The communications include a URL therein that a user has shared, posted, or otherwise communicated to one or more other users using the social network. When the URL is not found in a search index it is identified as a new URL and is added to the search index. A measure of a trending interest, or virality, of the URL is determined from the data. The determined virality is associated with the URL in a search index as metadata. The virality is useable to inform a ranking of the URL against a plurality of other URLs for identification and presentation as a search result in a search engine results page.

Abstract: Architecture that automatically generate concise descriptions of users in social media. The descriptions communicate classification or category of a given social media user in a small amount of viewing space. The description can be based on available metadata (e.g., user profile biography) and/or other information about that person, as may be obtained from the information data sources (e.g., structured knowledge bases) on networks such as the Internet and enterprises, for example. The descriptions can also be query-dependent, by assuming there is some relationship between the social media user and a query, in which case, the descriptions illustrate that relationship.

Abstract: Links to web content can be identified as a function of one or more links shared by a user of an online social network service, among other things. The identified links can represent recommended links likely to be interesting to the user. Densification techniques can be employed to address data sparsity and thus enhance link recommendation. Furthermore, recommended links can be integrated with a search engine to personalize interaction with web content.

Abstract: Methods, systems, and computer-readable media are provided for updating a search index with new uniform resource locators (URLs) and with metadata for new and known URLs. Data associated with communications made by users using a social network is received. The communications include a URL therein that a user has shared, posted, or otherwise communicated to one or more other users using the social network. When the URL is not found in a search index it is identified as a new URL and is added to the search index. A measure of a trending interest, or virality, of the URL is determined from the data. The determined virality is associated with the URL in a search index as metadata. The virality is useable to inform a ranking of the URL against a plurality of other URLs for identification and presentation as a search result in a search engine results page.

Abstract: The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.