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Crestani, F.; Lee, P.L.: Searching the web by constraining spreading activities (2000)
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- Information processing and management. 36(2000) no.4, S.585-605
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Agosti, M.; Crestani, F.; Melucci, M.: Design and implementation of a tool for the automatic construction of hypertexts for information retrieval (1996)
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- Information processing and management. 32(1996) no.4, S.459-476
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Agosti, M.; Crestani, F.; Melucci, M.: On the use of information retrieval techniques for the automatic construction of hypertext (1997)
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- Information processing and management. 33(1997) no.2, S.133-144
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Crestani, F.; Vegas, J.; Fuente, P. de la: ¬A graphical user interface for the retrieval of hierarchically structured documents (2004)
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- Information processing and management. 40(2004) no.2, S.269-289
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Crestani, F.; Wu, S.: Testing the cluster hypothesis in distributed information retrieval (2006)
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- Information processing and management. 42(2006) no.5, S.1137-1150
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Sweeney, S.; Crestani, F.; Losada, D.E.: 'Show me more' : incremental length summarisation using novelty detection (2008)
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- Information processing and management. 44(2008) no.2, S.663-686
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Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (1996)
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- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
-
Crestani, F.; Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Mathematical, logical, and formal methods in information retrieval : an introduction to the special issue (2003)
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- Date
- 22. 3.2003 19:27:36
-
Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006)
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- Date
- 5. 6.2006 11:22:23
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Keikha, M.; Crestani, F.; Carman, M.J.: Employing document dependency in blog search (2012)
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- Abstract
- The goal in blog search is to rank blogs according to their recurrent relevance to the topic of the query. State-of-the-art approaches view it as an expert search or resource selection problem. We investigate the effect of content-based similarity between posts on the performance of the retrieval system. We test two different approaches for smoothing (regularizing) relevance scores of posts based on their dependencies. In the first approach, we smooth term distributions describing posts by performing a random walk over a document-term graph in which similar posts are highly connected. In the second, we directly smooth scores for posts using a regularization framework that aims to minimize the discrepancy between scores for similar documents. We then extend these approaches to consider the time interval between the posts in smoothing the scores. The idea is that if two posts are temporally close, then they are good sources for smoothing each other's relevance scores. We compare these methods with the state-of-the-art approaches in blog search that employ Language Modeling-based resource selection algorithms and fusion-based methods for aggregating post relevance scores. We show performance gains over the baseline techniques which do not take advantage of the relation between posts for smoothing relevance estimates.
