This poster describes the approach of an ongoing PhD project on the identification of genres on the Web. Genre is an important filtering concept: texts about the same topic can belong to different genres, provide different kinds of information, and satisfy differing communicative purposes. The model proposed here is intended to be integrated into a content-based system to make Information Retrieval more efficient.