Salesforce Com, Inc.

Yahoo Holdings, Inc.

Robert Christopher Ames

Wenhao Liu

Percy Dara Mehta

Mike Wexler

Alexis Roos

Noah William Burbank

Rohit Deshpande

Shardul Vikram

William Christopher Fama Roller

Madeleine Mary Gill

Joseph Gerald Keller

Xiaoyi Chen

Wing Hing Ku

Madhav Vaidyanathan

Alex Michael Noe

Sammy Adnan Nammari

Abraham Dio Suharli

Ascander Dost

Nelson Esteban Acevedo

Shuvajit Das

Oliver Qian Tang

Sandeep Raju Prabhakar

Hiro Inami

Bhaskar Garg

Ian Flint

Xu Yang

Janelle Wen Hui Teng

Methods, systems, and devices for analyzing communication messages (e.g., emails) and selecting corresponding actions are described. In some database systems, a user may receive multiple messages at a user device. To efficiently determine responses to these messages, the user device may send the messages to a backend server for analysis. The server may perform natural language processing (NLP) to classify the message with one or more binary classifications and may extract metadata from each message. Based on the classifications and the metadata, the server may determine one or more actions the user device may perform to respond to each message. The server may send instructions to the user device indicating the suggested actions, and the user device may display these actions as options to a user. Additionally, the user device may use the classifications and metadata to automatically generate one or more communication templates in response to the message.

Action response selection based on communication message analysis

Methods, systems, and devices for preemptively loading code dependencies are described. In some systems, an application server&#x2014;which may be a software component of a user device&#x2014;may perform a loading process for an application framework module (e.g., based on receiving an execution request for a corresponding application). To reduce the latency of loading the framework module, the application server may perform one or more preemptive non-framework network requests to retrieve code dependencies for the framework or the application code. These requests may be sent prior to the framework loading process, or in parallel with the framework loading process. The application server may receive the code dependencies in response, and may store these dependencies in a memory cache. When the framework loading process needs these code dependencies, the application server may efficiently access the dependencies locally in the memory cache rather than remotely requesting the dependencies over the network.

Preemptive loading of code dependencies for improved performance

In one embodiment, in a hierarchy of nodes, a master node having two or more child nodes obtains from the two or more child nodes two or more sets of data samples or summaries associated therewith, the two or more sets of data samples being representative of traffic processed via two or more sets of servers corresponding to the two or more child nodes, wherein a size of each of the two or more sets of data samples is proportional to an allocation of traffic among the two or more sets of servers corresponding to the two or more child nodes. Each of the two or more sets of data samples is obtained from a different one of the two or more child nodes and represents traffic processed by a corresponding one of the two or more sets of servers. The master node combines the two or more sets of data samples or summaries associated therewith such that a combined set of data is generated. The master node ascertains a numerical value from the combined set of data.

Using hierarchical reservoir sampling to compute percentiles at scale

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Sunnyvale, CA, United States of America

Robert Christopher Ames