Entity Ranking has recently become an important search task in Information Retrieval. The goal is not to find documents matching
query terms, but, instead, finding entities. In this paper we propose a formal model to search entities as well as a complete
Entity Ranking system, providing examples of its application to the enterprise context. We experimentally evaluate our system
on the Expert Search task in order to show how it can be adapted to different scenarios. The results show that combining simple
IR techniques we improve of 53% in terms of P@10 over our baseline.