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» Inductive Databases as Ranking
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130
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CIKM
2009
Springer
15 years 7 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
188
Voted
ICDE
2007
IEEE
178views Database» more  ICDE 2007»
16 years 2 months ago
Top-k Spatial Preference Queries
A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, consider a real estate agency office that holds a database ...
Man Lung Yiu, Xiangyuan Dai, Nikos Mamoulis, Micha...
117
Voted
FQAS
2009
Springer
127views Database» more  FQAS 2009»
15 years 7 months ago
Finding Top-k Approximate Answers to Path Queries
We consider the problem of finding and ranking paths in semistructured data without necessarily knowing its full structure. The query language we adopt comprises conjunctions of r...
Carlos A. Hurtado, Alexandra Poulovassilis, Peter ...
140
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WEBDB
2007
Springer
117views Database» more  WEBDB 2007»
15 years 6 months ago
XML Information Retrieval Considering Physical Page Layout of Logical Elements
XML information retrieval (XML-IR) systems utilize the logical structure of XML documents for retrieving relevant elements. From a practical point of view, displaying the search r...
Toshiyuki Shimizu, Masatoshi Yoshikawa
SEMWEB
2004
Springer
15 years 6 months ago
Top-k Query Evaluation for Schema-Based Peer-to-Peer Networks
Abstract. Increasing the number of peers in a peer-to-peer network usually increases the number of answers to a given query as well. While having more answers is nice in principle,...
Wolfgang Nejdl, Wolf Siberski, Uwe Thaden, Wolf-Ti...