Abstract:
In one embodiment, a method includes, in an online social network, accessing one or more first content objects associated with a user in the online social network and a second content object, determining topics and corresponding first weights of the topics for the first content objects using a topic extraction algorithm, where each first weight indicates a strength of an association between the corresponding topic and the first content object(s), determining one or more second weights of the topics for the second content object, where each second weight indicates a strength of an association between the corresponding topic and the second content object, and calculating a similarity score for the second content object based on a comparison of, for each topic, the first weight to the second weight, where the similarity score is to be used in a determination regarding presentation of the second content object to the user.
Abstract:
In one embodiment, a method includes receiving, from a client system of a first user, an input from the first user indicating a query-domain and one or more query-filters, generating a card cluster comprising a plurality of cards referencing a plurality of objects corresponding to the indicated query-domain and one or more query-filters, ranking the plurality of cards based on one or more user-engagement factors, and sending, to the client system in response to the input from the first user, instructions for displaying the card cluster to the first user, the cards of the card cluster being ordered based on the rankings associated with the cards.
Abstract:
In one embodiment, a method includes identifying one or more social network events that satisfy a query condition in a social-networking system, determining an event score for each of the identified events, where the event score is based on one or more signals that are each related to a first interaction between a target user and the social-networking system, and the first interaction associates the target user with the identified event, and presenting one or more of the identified events to the target user in an order based on the event score of each identified event. The interaction may establish an association between the target user and an entity associated with the event.
Abstract:
In one embodiment, a method includes, by a computing device, identifying an event in an online social network to be evaluated for recommendation to a user of the online social network and determining whether the event is recommendable to the user, the determination being based on identifying correlations between one or more characteristics of the user and a plurality of signals associated with the event. The method further includes, in response to determining that the event is recommendable, presenting a recommendation or promotion for the event to the user, and, in response to determining that the event is not recommendable, converting the event in accordance with the determining that the event is not recommendable. The signals may include content associated with the event, metadata associated with the event, or responses to a notification about the event by users of the online social network.
Abstract:
In one embodiment, a method includes accessing a social graph including a number of nodes and a number of edges connecting the nodes. Each of the edges between two of the nodes represent a single degree of separation between them. The nodes include a first node corresponding to a first user associated with an online social network and a number of second nodes that each correspond to a concept or a second user associated with the online social network. The method also includes generating a number of cards. Each card includes a suggested query referencing a query-domain associated with the online social network and zero or more query-filters for the query-domain. Each query-filter references one or more nodes of the number of nodes or one or more edges of the number of edges.