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Titlebook: Advances in XML Information Retrieval and Evaluation; 4th International Wo Norbert Fuhr,Mounia Lalmas,Gabriella Kazai Conference proceeding

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11#
發(fā)表于 2025-3-23 10:12:50 | 只看該作者
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發(fā)表于 2025-3-23 15:38:11 | 只看該作者
Inorganic and Organometallic Compoundsndices can be employed in the processing of CO as well as CAS queries, which makes it easy for variations of CAS queries to be processed. Results at INEX 2005 are discussed including the following tasks: CO.Focussed, CO.FetchBrowse, CO.Thorough and all of the CAS tasks. While creating result lists,
13#
發(fā)表于 2025-3-23 20:59:52 | 只看該作者
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發(fā)表于 2025-3-23 22:13:52 | 只看該作者
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發(fā)表于 2025-3-24 03:17:08 | 只看該作者
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發(fā)表于 2025-3-24 06:41:14 | 只看該作者
Inorganic and Organometallic Compoundsyear was to further refine those tasks so as to experiment with different user behaviors for viewing returned results. In particular interest is the new “Focussed” task that permits a single element along each path, thus solving the problem of XML result overlapping that we experimented in previous
17#
發(fā)表于 2025-3-24 11:08:51 | 只看該作者
https://doi.org/10.1007/978-3-540-74382-8 The workshops of the Initiative for the Evaluation of XML retrieval (INEX) provide a forum for testing the effectiveness of retrieval strategies. In this paper, we present the two strategies used by the University of Kaiserslautern at INEX?2005: The first method uses background knowledge about the
18#
發(fā)表于 2025-3-24 18:46:03 | 只看該作者
Inorganic and Organometallic Compounds model for XML retrieval. The generative model for an XML element is estimated by linearly interpolating statistical language models estimated from the text of the element, the parent element, the document element, and its children elements. We heuristically modify EM to allow the incorporation of n
19#
發(fā)表于 2025-3-24 19:18:12 | 只看該作者
20#
發(fā)表于 2025-3-24 23:41:25 | 只看該作者
Brian Berkowitz,Ishai Dror,Bruno Yarontisfy the requirements of all the tasks, CAS and CO, in Thorough, Focused, and Fetch Browse mode, using the same underlying system The retrieval approach is based on the construction of a collection sub-tree, consisting of all nodes that contain one or more of the search terms. Nodes containing sear
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