Concept profiles for filtering parliamentary documents

Content-based recommender/filtering systems help to appropriately distribute information among the individuals or organizations that could consider it of interest. In this paper we describe a filtering system to deal with the problem of assigning documents to members of the parliament potentially interested on them. The proposed approach exploits subjects taken from a conceptual thesaurus to create the user profiles and to describe the documents to be filtered. The assignment of subjects to documents is modeled as a multilabel classification problem. Experiments with a real parliamentary corpus are reported, evaluating several methods to assign conceptual subjects to documents and to match those sets of subjects with user profiles.