Incidencia de técnicas de realimentación de consultas en Recuperación de Información Distribuida

This paper presents a thorough analysis of the capabilities of the pseudorelevance feedback (PRF) technique applied to Distributed Information Retrieval (DIR). This work emphasizes the effectiveness of PRF applied to the collection fusion problem. Usually, DIR Systems apply PRF in the same way of traditional Information Retrieval systems. For each collection, local results are improved through PRF. DIR systems merge the documents of rankings that are returned from a set of collections. Since a new global list of documents is available, we could use that list to apply PRF again, but at global level better than at local one. In order to apply global PRF, we have developed a new merging approach called 2-step RSV. Finally, we describe a number of experiments involving the two levels, local and global, of application of the PRF techniques.