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Titlebook: Bridging Between Information Retrieval and Databases; PROMISE Winter Schoo Nicola Ferro Textbook 2014 Springer-Verlag Berlin Heidelberg 201

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樓主: hexagon
31#
發(fā)表于 2025-3-26 21:40:17 | 只看該作者
978-3-642-54797-3Springer-Verlag Berlin Heidelberg 2014
32#
發(fā)表于 2025-3-27 02:58:04 | 只看該作者
33#
發(fā)表于 2025-3-27 07:21:42 | 只看該作者
Vorstellung der Fallstudienanalysen,rent services that take place online. This has caused a massive change in the documents being reached and retrieved. In this article we study how Information Retrieval models should change to reflect the changes that are happening to the documents being processed. We analyse the properties of the on
34#
發(fā)表于 2025-3-27 10:04:44 | 只看該作者
,Fallstudienübergreifender Vergleich,sk is a modification of classical Information Retrieval (IR), but documents are retrieved on the basis of relevance to ontology concepts, as well as words. Nevertheless the basic assumption is quite similar - a document is characterized by the bag of tokens constituting its content, disregarding its
35#
發(fā)表于 2025-3-27 15:01:22 | 只看該作者
Management von Multiscreen-Kampagnen process for solving keyword queries in three phases: the management of the user’s input, the search algorithms, the results returned to the user. For each phase we analyze the main problems, the solutions adopted by the most important system developed by researchers and the open challenges. Finally
36#
發(fā)表于 2025-3-27 19:57:15 | 只看該作者
37#
發(fā)表于 2025-3-27 23:47:40 | 只看該作者
Metaanalyse zum Netzwerkmanagement,ree major concepts from DB, namely inference, vague predicates and expressive query languages. By regarding IR as uncertain inference, probabilistic versions of relational algebra and Datalog yield very powerful inference mechanisms for IR as well as allowing for more flexible systems. For dealing w
38#
發(fā)表于 2025-3-28 04:10:45 | 只看該作者
39#
發(fā)表于 2025-3-28 08:44:50 | 只看該作者
40#
發(fā)表于 2025-3-28 13:19:02 | 只看該作者
Management von Netzwerkorganisationen in the search box and expects the search engine to return relevant search results. Evaluating the quality of search results is a very important aspect in the development and maintenance of those systems. In this paper we describe some of the current approaches for assessing quality in an industrial
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