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CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
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MDAI
2004
Springer
15 years 3 months ago
2004
Springer
The problem of finding quality information and services on the Web is analyzed. We present two user-centered evaluation methodologies to characterize the quality of the Web docume...
ECIR
2004
Springer
14 years 11 months ago
2004
Springer
A medium-scale user study was carried out to investigate the usability of a concept-based query expansion support tool. The tool was fully integrated into the interface of an IR sy...
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CIKM
2010
Springer
14 years 8 months ago
2010
Springer
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
SIGIR
2009
ACM
2009
ACM
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
15 years 4 months ago
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...