Facebook, Inc.

Samsung Electronics Co., Ltd.

Meta Platforms, Inc.

Tao Cui Baecklund

Shashikant Khandelwal

Rohit Poddar

Manisha Singh

Gurpreetsingh Baljeetsingh Sachdev

Robert Peter Otillar

Arpit Sood

Ido Wakrat

Curtis Jyun Sasaki

Kuldip S Pabla

Alex Meyer

Anthony Mang Yau

Ananth Narayan Subramaniam

An online system uses a model to determine affinities of users for geographical locations. Using the affinities, which may indicate travel-related preferences of the users, the online system may customize content items to include content captured by client devices of other users of the online system. For example, the online system presents to a particular user a content item including a photo or video of a geographical location captured by a camera of a client device of another user who is connected to the particular user. The model may implement, for example, collaborative filtering or other machine learning techniques to determine commonalities between users' travel affinities. Additionally, the model may determine latent properties or temporal trends of user preferences based on training data including historical actions performed on the online system or social data. The model may also classify different types of geographical locations.

Data processing to predict affinity for geographical locations

An online system provides navigation information customized using travel preferences of users. The online system receives actions performed by users that may indicate their geographical locations of interest. The online system may use a model to predict a user's level of interest in destination geographical locations. The online system generates navigation information or travel information that describes routes from origin geographical locations of users to destination geographical locations to which the users are likely to travel. The online system transmits the navigation information to client devices for presentation as personalized or dynamically-created content items to users. The online system may generate navigation information using catalogs describing routes between geographical locations. For instance, the catalog indicates a vehicle for navigation along a route, as well as origin and destination geographical locations.

Generating catalogs of navigation information

Predicting user intent in navigation information

Navigation information on an online system

A computing system includes: a control unit configured to: detect an upcoming event for interacting with a focal person for the upcoming event; extract an invitee's identification for the upcoming event, aggregate an invitee's information associated with the invitee's identification; build a social graph as an enhanced graph or with an extension graph based on the invitee's information for adding an invitee associated with the invitee's identification; and a storage unit, coupled to the control unit, configured to store the social graph.

Computing system with social interaction mechanism and method of operation thereof

Growing community of inventors

San Jose, CA, United States of America

Tao Cui Baecklund