A Lazy Approach for Filtering Parliamentary Documents.

We propose a lazy approach to build a content-based recommender system for parliamentary documents. Given a new document to be recommended, the system will decide what Members of the Parliament could find interesting such a document, in order to deliver it to them. Our approach is lazy because we do not build an elaborated profile of each deputy, but collect all the text of his/her speeches within the parliament debates and generate a document collection where we can search through queries. In this way we transform a recommender system problem into an information retrieval problem. Our proposals are tested using the documents of the regional Parliament of Andalusia at Spain.