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» Adapting information retrieval systems to user queries
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VLDB
2004
ACM
129views Database» more  VLDB 2004»
14 years 2 months ago
Probabilistic Ranking of Database Query Results
We investigate the problem of ranking answers to a database query when many tuples are returned. We adapt and apply principles of probabilistic models from Information Retrieval f...
Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, ...
DASFAA
2009
IEEE
147views Database» more  DASFAA 2009»
14 years 3 months ago
SUITS: Faceted User Interface for Constructing Structured Queries from Keywords
Keyword search and database query are two ways for retrieving data in real world settings. In this demonstration, we show SUITS, a novel search interface over relational databases ...
Elena Demidova, Xuan Zhou, Gideon Zenz, Wolfgang N...
CLEF
2004
Springer
14 years 2 months ago
MSU at ImageCLEF: Cross Language and Interactive Image Retrieval
Abstract. In this report, we describe our studies with cross language and interactive image retrieval in ImageCLEF 2004. Typical cross language retrieval requires special linguisti...
Vineet Bansal, Chen Zhang, Joyce Y. Chai, Rong Jin
CORR
2011
Springer
173views Education» more  CORR 2011»
13 years 4 months ago
Probability Based Clustering for Document and User Properties
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
Thomas Mandl, Christa Womser-Hacker
SIGIR
1998
ACM
14 years 1 months ago
Improving Automatic Query Expansion
Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via adhoc feedback improves the retrieval e ectiveness of such ...
Mandar Mitra, Amit Singhal, Chris Buckley