Paypal, Inc.

Facebook, Inc.

Ebay, Incorporated

Meta Platforms, Inc.

Jason Sundram

Nataly Kogan

Jim Caralis

Michael Mastroianni

Masumi Nakamura

Jason Michael Carreiro

Guven Burc Arpat

Lionel Laurent Reyero

Samuel Riemer Voigt

Neil A Kodner

Methods and systems for generating location-aware group recommendations are discussed. For example, a method can include operations for receiving a group recommendation request, accessing user profile data associated with members of the group, and generating a group recommendation. The group recommendation request can be received at a network-based system and include identification of a first and second user as well as information identifying a current location associated with the first and second users. Accessing the user profile information can include accessing user profile information for both the first and second users. The group recommendation can be generated based on the current location data and a combination of at least a portion of the user profile data from the first and second users.

Systems and methods for generating location-based group recommendations

In one embodiment, a technique including receiving, from a client system of a user, a first location of the client system. The technique further including receiving, from the client system, an ID of an access point detected by the client system. The technique also including accessing, by the one or more computing devices, an index to determine a second location of the access point based on the ID. The technique further including determining, by the one or more computing devices, a refined location of the client system based on the first location and the second location. The technique also including generating, by the one or more computing devices, a prioritized list of regions based on the refined location and user data. The technique further including transmitting, by the one or more computing devices, information associated with the prioritized list of regions to the client system.

Dynamic location monitoring for targeted updates

Some embodiments include a stream consolidation engine in a social networking system. The stream consolidation engine can receive two or more input data streams (e.g., an activity record data stream and an application service output stream) from the social networking system. The stream consolidation engine can merge an activity record from the activity record data stream with at least a data record from the input data streams (e.g., from the activity record data stream or the application service output stream) to create a conglomerate data record. The stream consolidation engine can supplement the conglomerate data record with asynchronous information from a data storage or derivative data computed based on content in or referenced by the conglomerate data record. The stream consolidation engine can publish the conglomerate data record in a consolidated data stream. The consolidated data stream can be substantially synchronous to at least one of the input data streams.

Data stream consolidation in a social networking system for near real-time analysis

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Somerville, MA, United States of America

Jason Sundram