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SIGMOD
2006
ACM
110views Database» more  SIGMOD 2006»
14 years 9 months ago
Supporting ad-hoc ranking aggregates
This paper presents a principled framework for efficient processing of ad-hoc top-k (ranking) aggregate queries, which provide the k groups with the highest aggregates as results....
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas
MM
2004
ACM
151views Multimedia» more  MM 2004»
14 years 2 months ago
Multimodal concept-dependent active learning for image retrieval
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
Kingshy Goh, Edward Y. Chang, Wei-Cheng Lai
DAMON
2008
Springer
13 years 11 months ago
CAM conscious integrated answering of frequent elements and top-k queries over data streams
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
AICS
2009
13 years 7 months ago
The Effect of Query Length on Normalisation in Information Retrieval
Document length normalisation is known to be a difficult problem in IR, as tuning is often needed to overcome the collection dependence problem known to affect many normalisation s...
Ronan Cummins, Colm O'Riordan
SIGIR
2002
ACM
13 years 8 months ago
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
In this paper we present an evaluation of techniques that are designed to encourage web searchers to interact more with the results of a web search. Two specific techniques are ex...
Ryen White, Ian Ruthven, Joemon M. Jose