Abstract—Searching for named entities has been the subject of many researches in information retrieval. Our goal in participating in TREC 2010 Entity Ranking track is to look for reconizing any named entity in arbitrary categories and use this to rank candidate named entities. We propose to address the issue by means of a web oriented language modeling approach.

The overall goal of the track is to perform entity-oriented search tasks on the World Wide Web. Many user information needs concern entities (people, organizations, locations, products,...); these are better answered by returning specific objects instead of just any type of documents. Defining entities on the Web is still an unsolved problem. We settled on representing entities