There are over a billion people and over a trillion posts on Facebook. Among these posts, there are uniquely personalized answers to many search queries. The goal of Facebook post search is to help people nd the most personally relevant posts for each individual query, tailored to the content of people's networks. In this talk, I will present some of our work to build a search product that uses personalized graph signals in ranking. I will also give an overview of query modi cation, posts retrieval and ranking of results. Copyright c 2015 for the individual papers by the papers’ authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

SIGIR Workshop on Graph Search and Beyond ’15 Santiago, Chile Published on CEUR-WS: http://ceur-ws.org/Vol-1393/.