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Showing papers by "SITE Santa Fe published in 2001"


01 Jul 2001
TL;DR: A model for describing IRS problems in the application of bibliographic references is proposed that should help for the calculation of the degree of similarity between two information retrieval problems so that the use of CBR techniques can be improved.
Abstract: What best solution for the user's query has been the major research interest in IRS. Hidden in this main objective are several identified problem fields. We present here two related problem fields that have not been well studied and integrated into IRS applications. We propose a model for describing IRS problems in the application of bibliographic references. This model should help for the calculation of the degree of similarity between two information retrieval problems so that the use of CBR techniques can be improved. We are working on the implementation of the model in our system METIORE that allows various levels of information access to bibliographic references

5 citations


01 Aug 2001
TL;DR: METIORE as discussed by the authors is a Personalized Information Retrieval system that keeps a user model based on objectives and keeps together all the publications on this research area and provides a powerful tool to find papers or people working in the field.
Abstract: The Web is one of the most powerful sources of information about any topic. However its disorganization makes it difficult to find even existing. Look for scientific literature is also a difficult task. It's needed to know some places that links to the source of information, and in the best case they point to conferences proceedings. If this is the case the user is not able to make queries about the available documents and must check them one by one. In this paper we propose our system METIORE as a source of information for the Adaptive Hypermedia community. The idea is to keep together all the publications on this research area and provide a powerful tool to find papers or people working in the field. METIORE is a Personalized Information Retrieval system that keeps a user model based on objectives

4 citations