Facebook, Inc.

Xinpan Xiao

Michael Steven Vernal

Yu Huang

Ming Hua

Avichal Garg

Dan Ionut Fechete

Alex Himel

Yang Qin

Lu D Chen

Saurabh Prafulla Chakradeo

Dharmesh A Bhatt

Chinmay Deepak Karande

An online system determines the pricing of an advertisement included in a scrollable advertisement unit including multiple advertisements and a display area presenting one or more advertisements. When an advertisement is included in a scrollable advertisement unit, a price for presentation of the advertisement is determined based on bid amounts of advertisements evaluated for inclusion in the scrollable advertisement unit and a scaling factor. The scaling factor is based on the probability of the advertisement being presented to a user based on the position in the scrollable advertisement unit associated with the advertisement. Advertisement characteristics affecting the likelihood of an advertisement being presented to a user may also be considered in the scaling factor.

View-based pricing of advertisements in scrollable advertisement units

In one embodiment, a method includes receiving, from a client device of a user of an online social network, an input from the user to access a card-stack interface, generating a plurality of cards, where each card comprises a suggested query referencing a query-domain associated with the online social network and one or more query-filters, and where each query-filter references one or more objects of the online social network, each card further comprising one or more search results corresponding to the suggested query, and each search result referencing an object of the online social network matching the suggested query of the card; and sending, to the client device in response to the input from the first user, the card-stack interface for display to the first user, wherein the card-stack interface comprises one or more of the generated cards.

Generating card stacks with queries on online social networks

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.

Generating recommended search queries on online social networks

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Redwood City, CA, United States of America

Xinpan Xiao