-
Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003)
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- Source
- Journal of information science. 29(2003) no.2, S.87-96
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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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- Abstract
- Describes the design and implementation of TACHIR, a tool for the automatic construction of hypertexts for information retrieval. Through the use of an authoring methodology employing a set of well known information retrieval techniques, TACHIR automatically builds up a hypertext from a document collection. The structure of the hypertext reflects a 3 level conceptual model which enables navigation among documents, index terms, and concepts using automatically determined links. The hypertext is implemented using the HTML language. It can be distributed on different sites and different machines over the Internet, and it can be navigated using WWW interfaces
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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.
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Varathan, K.D.; Giachanou, A.; Crestani, F.: Comparative opinion mining : a review (2017)
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- Abstract
- Opinion mining refers to the use of natural language processing, text analysis, and computational linguistics to identify and extract subjective information in textual material. Opinion mining, also known as sentiment analysis, has received a lot of attention in recent times, as it provides a number of tools to analyze public opinion on a number of different topics. Comparative opinion mining is a subfield of opinion mining which deals with identifying and extracting information that is expressed in a comparative form (e.g., "paper X is better than the Y"). Comparative opinion mining plays a very important role when one tries to evaluate something because it provides a reference point for the comparison. This paper provides a review of the area of comparative opinion mining. It is the first review that cover specifically this topic as all previous reviews dealt mostly with general opinion mining. This survey covers comparative opinion mining from two different angles. One from the perspective of techniques and the other from the perspective of comparative opinion elements. It also incorporates preprocessing tools as well as data set that were used by past researchers that can be useful to future researchers in the field of comparative opinion mining.
-
Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (1996)
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- Source
- 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
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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
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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
-
Sweeney, S.; Crestani, F.; Losada, D.E.: 'Show me more' : incremental length summarisation using novelty detection (2008)
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- Date
- 29. 7.2008 19:35:12
-
Crestani, F.; Mizzaro, S.; Scagnetto, I,: Mobile information retrieval (2017)
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- Date
- 29. 9.2018 13:24:44
