Lightbend, Inc.

Facebook, Inc.

Lyft, Inc.

Abhinav Amrut Vora

Omer Emre Velipasaoglu

Amit Sasturkar

Vishal Surana

Aiyesha Lowe Ma

Mayank Gulati

Charles Parker Spielman

Allan Stewart

Alan Honkwan Ngai

Stanislav Basovnik

Chirag Chhagan Chheda

Oliver Kempe

Hao Yu Liu

Le Guan

Xiaoyuan Xu

Narayanan Arunachalam

David Chouinard

Benjamin Han

Julia Yu

The disclosed computer-implemented method may include dynamically selecting transportation options to present to a transportation requestor device based on current transportation network conditions and transportation requestor device history. In some embodiments, transportation network may have many different ways of arranging a transportation requestor's trip, such as private rides, shared rides, immediate rides, and delayed rides. In some examples, the requestor's choice of transportation option may have an impact on the transportation network. In anticipation of or in response to a transportation request, the method may determine which transportation options will better benefit the transportation network and determine which transportation options to display to the requestor and/or the prominence with which the transportation products are displayed. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for dynamically selecting transportation options based on transportation network conditions

The technology disclosed relates to understanding traffic patterns in a network with a multitude of processes running on numerous hosts. In particular, it relates to using at least one of rule based classifiers and machine learning based classifiers for clustering processes running on numerous hosts into local services and clustering the local services running on multiple hosts into service clusters, using the service clusters to aggregate communications among the processes running on the hosts and generating a graphic of communication patterns among the service clusters with available drill-down into details of communication links. It also relates to using predetermined command parameters to create service rules and machine learning based classifiers that identify host-specific services. In one implementation, user feedback is used to create new service rules or classifiers and/or modify existing service rules or classifiers so as to improve accuracy of the identification of the host-specific services.

Hierarchical service oriented application topology generation for a network

In one embodiment, a method includes receiving, from a client system, a query inputted by a first user at a search client, the search client being associated with context data from a page associated with the search client. The context data identifies: a type of the page associated with the search client, a social context of the page associated with the search client, and a threshold number of search results for display. The method includes identifying one or more entities matching the query and ranking each of the identified entities based at least in part on the social context and the type of the page associated with the search client. The method includes sending, to the client system, instructions for presenting a search-results interface including the threshold number of search results corresponding to the threshold number of top ranking identified entities.

Search client context on online social networks

The technology disclosed relates to maintaining up to date software version data in a network. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections. It further relates to collecting current software version information for the processes, updating the network topology with the current software version for particular process running on a particular host when it differs from a stored software version in the network topology, reassigning the particular host to a sub-cluster within the service cluster according to the current software version, and monitoring the updated sub-cluster within the service cluster.

Systems and methods of monitoring a network topology

In particular embodiments, a method includes receiving a query for a specified place or a type of place, receiving an identification of a location of the computing device within a first map tile, identifying first places that are located at least partially within the first map tile and correspond to the query, the first places being identified in an index by records that correspond to the first map tile, and identifying second places that correspond to the query and are each located at least partially within second map tiles that include a parent map tile associated with the first map tile. The second places are identified in the index by one or more records that correspond to the second map tiles. The method further includes determining scores for places that include the first and second places based on one or more relevance factors.

Polygon-based indexing of places

The technology disclosed relates to sub-clustering within service clusters in real-time. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections, wherein the node data includes software versions of the processes and process data with configuration files and clustering the multiple hosts with the service clusters into the sub-clusters based at least in part on the software versions.

Systems and methods of constructing a network topology

In one embodiment, a method includes accessing a social graph comprising nodes and a edges connecting the nodes, receiving from a first user a query inputted at a search client, the search client being associated with context data from a page associated with the search client, such that the context data identifies one or more nodes associated with the page, generating search results corresponding to the query, wherein each of the search results corresponds to a node, and scoring the search results based at least in part on the context data associated with the search client. The context data may identify a social context of the page, which can include tags, comments, likes, commenters, and the like.

In one embodiment, a method includes receiving an identification of a location. The method further includes accessing an inverted index that comprises a plurality of records, where each record corresponds to a map tile and identifies one or more places corresponding to the map tile. At least one of the places identified in the inverted index is identified in multiple records corresponding to multiple map tiles, where the map tiles collectively define an area that circumscribes the place. The method also includes identifying based on the inverted index one or more places associated with the location.

Growing community of inventors

San Francisco, CA, United States of America

Abhinav Amrut Vora