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» Ranking List Dispersion as a Query Performance Predictor
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WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
14 years 1 months ago
Top-k aggregation using intersections of ranked inputs
There has been considerable past work on efficiently computing top k objects by aggregating information from multiple ranked lists of these objects. An important instance of this...
Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vas...
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
14 years 7 months ago
Ranking queries on uncertain data: a probabilistic threshold approach
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin
VLDB
2011
ACM
276views Database» more  VLDB 2011»
13 years 1 months ago
Ranking queries on uncertain data
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Xuemin Lin
SIGIR
2008
ACM
13 years 7 months ago
Re-ranking search results using document-passage graphs
We present a novel passage-based approach to re-ranking documents in an initially retrieved list so as to improve precision at top ranks. While most work on passage-based document...
Michael Bendersky, Oren Kurland
SIGMOD
2006
ACM
114views Database» more  SIGMOD 2006»
14 years 7 months ago
Ordering the attributes of query results
There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank...
Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. ...