Abstract
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.
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Notes
- 1.
An initiative is the literal transcription of the discussion in the parliament of a petition presented by the MPs or groups.
- 2.
A type of binary classification problem where we have a set of positive examples and another larger set of unlabeled examples, but there is no set of negative examples.
- 3.
- 4.
An example of the title of an initiative is “Non-legislative proposal on social and employment situation of women in Andalusia”.
- 5.
Using the MoreLikeThis facility in Lucene.
- 6.
- 7.
Note that we have set to 200 the number of documents returned by the search engine.
- 8.
Although it is not important for our purposes, the best performing model is BM25.
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Acknowledgements
Paper supported by the Spanish “Ministerio de Ciencia e Innovación” and “Ministerio de Economía y Competitividad” under the projects TIN2011-28538-C02-02 and TIN2013-42741-P.
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de Campos, L.M., Fernández-Luna, J.M., Huete, J.F. (2015). A Lazy Approach for Filtering Parliamentary Documents. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2015. Lecture Notes in Computer Science, vol 9265. Springer, Cham. https://doi.org/10.1007/978-3-319-22389-6_26
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