Facebook, Inc.

Alexey N Spiridonov

William Jacobs

Yigal Dan Rubinstein

Kent Schoen

Srinivas P Narayanan

Yanxin Shi

Andrey Goder

David Dawei Ye

Levy Klots

Robert Jin

The present disclosure provides methods and systems for instrumenting a 'semantic stack trace' (SST), where semantic information and dependency relationships between a plurality of code elements ('elements') are captured during runtime execution of various front-end declarative languages, and are subsequently extracted for display in a SST-enabled interactive user interface with traversing capability. Embodiments of the present invention enable a framework for traversing and debugging complex code, providing an unprecedented lens into understanding code behavior in mixed imperative and declarative construction languages.

Semantic stack trace

As a user of a social networking system views a page that includes information provided by the system, certain types of social interactions are monitored. If an interaction monitored for is detected, at least one recommendation unit is identified to present to user on the page. The recommendation unit is identified based on a description of the interaction. The recommendation unit suggests that the user perform a social interaction in the social networking system. The recommendation unit is transmitted to a device of the user and is presented to the user on the page without having to reload the entire page.

Instantaneous recommendation of social interactions in a social networking system

Growing community of inventors

Mountain View, CA, United States of America

Alexey N Spiridonov